Papperoni

[1]Attention Is All You Need

Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, Illia Polosukhin - 2017

47 papers in library cite

Google Scholar

I mean... it introduced Transformers!

[2]Language Models Are Few-Shot Learners

Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel M. Ziegler, Jeffrey Wu, Clemens Winter, Christopher Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, Dario Amodei - 2020

21 papers in library cite

Google Scholar

It's just training the GPT arch with more data and more params. Nothing too surprising, but kudos for identifying and formalizing few-shot learning.

[3]Computing Machinery and Intelligence

A. M. Turing - 1950

8 papers in library cite

Google Scholar

A must-read, but it gets a bit boring halfway through (as he is describing every counter argument).

[4]Sequence to Sequence Learning With Neural Networks

Ilya Sutskever, Oriol Vinyals, Quoc V. Le - 2014

58 papers in library cite

Google Scholar

Good paper, but I think it only got famous because they set a new good baseline for NNs in MT. Their main contribution was reversing the source sentence TBH.

[5]Language Models Are Unsupervised Multitask Learners

Alec Radford, Jeffrey Wu, Rewon Child, D. Luan, Dario Amodei, Ilya Sutskever - 2019

27 papers in library cite

Google Scholar

Amazing! Tons of important contributions. I think they could have explained the models a bit better, and I think this is where OpenAI starts to become evil (and not open)

[6]Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank

Richard Socher, A. Perelygin, Jeffrey Wu, J. Chuang, C. Manning, A. Ng, Christopher Potts - 2013

24 papers in library cite

Google Scholar

I didn't really like the first paper and I don't really like this one. I think the dataset is more influential than the methodology. I think Stanford folks are too focused on old school NLP.

[7]SQuAD: 100,000+ Questions for Machine Comprehension of Text

P. Rajpurkar, J. Zhang, K. Lopyrev, Percy Liang - 2016

37 papers in library cite

Google Scholar

Nice paper that introduced an important dataset. Not much else though.

[8]Evaluating Large Language Models Trained on Code

Mark Chen, Jerry Tworek, Heewoo Jun, Qiming Yuan, Henrique Ponde de Oliveira Pinto, Jared Kaplan, Harri Edwards, Yuri Burda, Nicholas Joseph, Greg Brockman, Alex Ray, Raul Puri, Gretchen Krueger, Michael Petrov, Heidy Khlaaf, Girish Sastry, Pamela Mishkin, Brooke Chan, Scott Gray, Nick Ryder, Mikhail Pavlov, Alethea Power, Lukasz Kaiser, Mohammad Bavarian, Clemens Winter, Philippe Tillet, Felipe Petroski Such, Dave Cummings, Matthias Plappert, Fotios Chantzis, Elizabeth Barnes, Ariel Herbert-Voss, William Hebgen Guss, Alex Nichol, Alex Paino, Nikolas Tezak, Jie Tang, Igor Babuschkin, Suchir Balaji, Shantanu Jain, William Saunders, Christopher Hesse, Andrew N. Carr, Jan Leike, Josh Achiam, Vedant Misra, Evan Morikawa, Alec Radford, Matthew Knight, Miles Brundage, Mira Murati, Katie Mayer, Peter Welinder, Bob McGrew, Dario Amodei, Sam McCandlish, Ilya Sutskever, Wojciech Zaremba - 2021

9 papers in library cite

Google Scholar

Very nice read! Nothin new in the methodology but very thoughtful and thorough analysis.

[9]Neural Machine Translation of Rare Words with Subword Units

R. Sennrich, B. Haddow, Alexandra Birch - 2016

22 papers in library cite

Google Scholar

Very good! Simple, explains quite a lot and good results. Forms the basis for a lot of stuff now!

[10]Google's Neural Machine Translation System: Bridging the Gap Between Human and Machine Translation

Yonghui Wu, M. Schuster, Ziru Chen, Quoc V. Le, M. Norouzi, W. Macherey, M. Krikun, Yue Cao, Q. Gao, K. Macherey, J. Klingner, A. Shah, M. J. Johnson, Xiaodong Liu, Lukasz Kaiser, S. Gouws, Y. Kato, T. Kudo, H. Kazawa, K. Stevens, G. Kurian, N. Patil, Wenyi Wang, C. Young, J. Smith, J. Riesa, A. Rudnick, Oriol Vinyals, G. S. Corrado, M. Hughes, Jeffrey Dean - 2016

15 papers in library cite

Google Scholar

It's a very good paper but TBH doesn't bring anything new other than joining a bunch of existing stuff. I think it ended up being foundational because it's Google and several people used it as a base for future research. Good contribution then :)

[11]Measuring Massive Multitask Language Understanding

Dan Hendrycks, Collin Burns, Steven Basart, Andy Zou, Mantas Mazeika, Dawn Song, Jacob Steinhardt - 2021

6 papers in library cite

Google Scholar

Ok, good benchmark but nothing surprising. I bet it saturated soon after (it did)

[12]GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding

A. Wang, A. Singh, J. Michael, F. Hill, Omer Levy, Samuel R. Bowman - 2018

26 papers in library cite

Google Scholar

I like it, but it's just a mesh of different existing datasets and F1 score. Nothing new really but I get why it's important

[13]Training Verifiers to Solve Math Word Problems

Karl Cobbe, Vineet Kosaraju, Mohammad Bavarian, Mark Chen, Heewoo Jun, Lukasz Kaiser, Matthias Plappert, Jerry Tworek, Jacob Hilton, Reiichiro Nakano, Christopher Hesse, John Schulman - 2021

7 papers in library cite

Google Scholar

Fun read. Simple and nice use of verifiers

[14]Scaling Laws for Neural Language Models

Jared Kaplan, Sam McCandlish, Tom Henighan, Tom B. Brown, Benjamin Chess, Rewon Child, Scott Gray, Alec Radford, Jeffrey Wu, Dario Amodei - 2020

12 papers in library cite

Google Scholar

Very nice! An amazing contribution. Problem is, the paper is just like 3 pages of actual interesting content, and 10 pages of detailed results. Boring to read but very good otherwise.

[15]Huggingface's Transformers: State-of-the-Art Natural Language Processing

Thomas Wolf, L. Debut, V. Sanh, J. Chaumond, C. Delangue, A. Moi, P. Cistac, T. Rault, R. Louf, M. Funtowicz, J. Davison, Sam Shleifer, P. V. Platen, C. Ma, Yacine Jernite, J. Plu, Chenfeng Xu, T. L. Scao, S. Gugger, M. Drame, Q. Lhoest, Alexander M. Rush - 2019

7 papers in library cite

Google Scholar

It's a solid paper, but these framework papers are usually boring... Yet, it's nice to see that they started with reduced scope (and how large it got now).

[16]A Large Annotated Corpus for Learning Natural Language Inference

Samuel R. Bowman, G. Angeli, Christopher Potts, Christopher D. Manning - 2015

25 papers in library cite

Google Scholar

Dataset collection is ok. The model that they create seems very low effort.

[17]A Broad-Coverage Challenge Corpus for Sentence Understanding Through Inference

A. Williams, Nikita Nangia, S. Bowman - 2018

19 papers in library cite

Google Scholar

Very nice paper and cool dataset - good thing they expanded SNLI. Also, they at least tried to have a good baseline, and comparisons of domains are nice.

[18]Measuring Mathematical Problem Solving With the MATH Dataset

Dan Hendrycks, Collin Burns, Saurav Kadavath, Akul Arora, Steven Basart, Eric Tang, Dawn Song, Jacob Steinhardt - 2021

8 papers in library cite

Google Scholar

Good idea in creating the dataset but it's just a regular and uninteresting dataset description paper

[19]Teaching Machines to Read and Comprehend

K. M. Hermann, T. Kocisky, Edward Grefenstette, L. Espeholt, W. Kay, M. Suleyman, Phil Blunsom - 2015

31 papers in library cite

Google Scholar

Nice way of converting unsupervised data to train for Q&A - and nice visualizations as well :) But I think their main contribution is the dataset. Maybe with the dataset they "unlocked" summarization?

[20]Hellaswag: Can a Machine Really Finish Your Sentence?

Rowan Zellers, Ari Holtzman, Yonatan Bisk, Ali Farhadi, Yejin Choi - 2019

6 papers in library cite

Google Scholar

It's very simple, just a revamp on the SWAG dataset. However, the authors had a lot of foresight into understanding the dataset saturation loop - made me wonder if we stopped using adversarial examples because they just don't make sense anymore.

[21]Get to the Point: Summarization With Pointer-Generator Networks

A. See, P. J. Liu, Christopher D. Manning - 2017

8 papers in library cite

Google Scholar

It's a bit of the same thing of the other ones. I am not sure if this was the first or not, but I am getting a bit bored of this

[22]Know What You Don't Know: Un-Answerable Questions for SQuAD

P. Rajpurkar, R. Jia, Percy Liang - 2018

14 papers in library cite

Google Scholar

It's alright... It's an extension to the other paper/dataset. I feel that it didn't need to be a full paper (maybe a 6-pager).

[23]Program Synthesis With Large Language Models

Jacob Austin, Augustus Odena, Maxwell Nye, Maarten Bosma, Henryk Michalewski, David Dohan, Ellen Jiang, Carrie Cai, Michael Terry, Quoc Le - 2021

4 papers in library cite

Google Scholar

Boring read. No news. They lost to OpenAI and HumanEval.

[24]A Neural Attention Model for Abstractive Sentence Summarization

Alexander M. Rush, S. Chopra, Jason Weston - 2015

13 papers in library cite

Google Scholar

TBH the paper is a bit boring and nothing new after reading a bunch of more modern techniques. I feel that they could have done a better job considering that seq2seq existed at the time. Either way, points for being the first to propose summarization with NNs.

[25]Learning to Summarize from Human Feedback

Nisan Stiennon, Long Ouyang, Jeffrey Wu, Daniel M. Ziegler, Ryan Lowe, Chelsea Voss, Alec Radford, Dario Amodei, Paul Christiano - 2020

10 papers in library cite

Google Scholar

Very thoughtful on explaining data collection and worrying about future consequences. Seems much closer to the RLHF we do now vs. what is in the human preferences paper.

[26]Language Models as Knowledge Bases?

F. Petroni, Tim Rocktaschel, P. Lewis, A. Bakhtin, Yonghui Wu, A. H. Miller, Sebastian Riedel - 2019

4 papers in library cite

Google Scholar

Very nice, but I expected a bit more. I thought it would be more of a philosophical discussion rather than a benchmark analysis. Still, probably the first ones to notice that LMs contain knowledge.

[27]TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension

M. Joshi, E. Choi, D. Weld, Luke Zettlemoyer - 2017

18 papers in library cite

Google Scholar

I like the way they collect the data, and I think this is a nice dataset. However, it seems like they didn't even try to make a good baseline.

[28]Pointer Sentinel Mixture Models

S. Merity, Caiming Xiong, J. Bradbury, Richard Socher - 2017

12 papers in library cite

Google Scholar

I really liked the methodology, but I had to read it a few times to understand it intuitively - I think they should have done a better job at explaining it.

[29]Neural Turing Machines

Alex Graves, G. Wayne, Ivo Danihelka - 2014

18 papers in library cite

Google Scholar

This paper is amazing. If someone told me that NNs could use and address memory by position I wouldn't believe it worked. Very nice, but it's a shame that it's just a toy example.

[30]SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems

A. Wang, Y. Pruksachatkun, Nikita Nangia, A. Singh, J. Michael, F. Hill, Omer Levy, Samuel R. Bowman - 2019

15 papers in library cite

Google Scholar

Nothing too surprising, just getting a bunch of stuff from different places and putting it all together. At least they do a good analysis of the benchmark vs. existing methodologies.

[31]Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference

R. T. Mccoy, Ellie Pavlick, Tal Linzen - 2019

5 papers in library cite

Google Scholar

TBH I expected more. It's a very shallow analysis of the heuristics (but ok, props to them for making it simple). I think that ultimately they don't solve the problem.

[32]Towards AI-complete Question Answering: A Set of Prerequisite Toy Tasks

Jason Weston, Antoine Bordes, S. Chopra, Tomas Mikolov - 2015

11 papers in library cite

Google Scholar

It's a good idea and a nice read but the bad part is that most of the tasks are already easy.

[33]The Natural Language Decathlon: Multitask Learning as Question Answering

Richard Socher - 2018

9 papers in library cite

Google Scholar

Very nice results, but TBH the architecture is waaaay to complicated

[34]Inferring Algorithmic Patterns With Stack-Augmented Recurrent Nets

Armand Joulin, Tomas Mikolov - 2015

9 papers in library cite

Google Scholar

Very underwhelming TBH. I expected more after reading the Neural Turing Machine paper. This reads like "yeah, we lost the race, here's what we were doing before they did something better"

[35]A Survey of Reinforcement Learning Informed by Natural Language

Jelena Luketina, Nantas Nardelli, Gregory Farquhar, Jakob Foerster, Jacob Andreas, Edward Grefenstette, Shimon Whiteson, Tim Rocktaschel - 2019

3 papers in library cite

Google Scholar

It's a good overview and I like that it gave me context on what's happening, but a bit boring to read.

[36]What Will it Take to Fix Benchmarking in Natural Language Understanding?

Samuel R. Bowman, George E. Dahl - 2021

1 paper in library cites

Google Scholar

It is a nice push but really there are no clear outcomes. The proposal is very shallow.

[37]Indexing by Latent Semantic Analysis

S. Deerwester, S. T. Dumais, G. W. Furnas, T. K. Landauer, R. Harshman - 1990

12 papers in library cite

Google Scholar

LSA paper

[38]Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Jason Wei, Xinpeng Wang, Dale Schuurmans, Maarten Bosma, Fanyue Xia, E. Chi, Quoc V. Le, Denny Zhou - 2022

10 papers in library cite

Google Scholar

CoT

[39]On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?

E. M. Bender, T. Gebru, Angelina McMillan-Major, S. Shmitchell - 2021

5 papers in library cite

Google Scholar

[40]Palm: Scaling Language Modeling With Pathways

Aakanksha Chowdhery, S. Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, A. Roberts, P. Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann - 2023

6 papers in library cite

Google Scholar

Missing author list

[41]On the Opportunities and Risks of Foundation Models

2021

3 papers in library cite

Google Scholar

[42]Vqa: Visual Question Answering

S. Antol, A. Agrawal, J. Lu, M. Mitchell, D. Batra, C. L. Zitnick, D. Parikh - 2015

6 papers in library cite

Google Scholar

New task?

[43]Finetuned Language Models Are Zero-Shot Learners

Jason Wei, Maarten Bosma, V. Y. Zhao, K. Guu, A. W. Yu, B. Lester, N. Du, A. M. Dai, Quoc V. Le - 2021

3 papers in library cite

Google Scholar

[44]Concrete Problems in AI Safety

Dario Amodei, Christopher Olah, Jacob Steinhardt, Paul Christiano, John Schulman, D. Mane - 2016

6 papers in library cite

Google Scholar

Missing author list

[45]Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings

2016

2 papers in library cite

Google Scholar

[46]Understanding Natural Language

T. Winograd - 1972

7 papers in library cite

Google Scholar

Book, but early work on NLU

[47]Language Modeling With Gated Convolutional Networks

Yann N. Dauphin, A. Fan, Michael Auli, D. Grangier - 2016

8 papers in library cite

Google Scholar

[48]Winogrande: An Adversarial Winograd Schema Challenge at Scale

K. Sakaguchi, R. L. Bras, C. Bhagavatula, Yejin Choi - 2019

4 papers in library cite

Google Scholar

Missing author list

[49]Training Compute-Optimal Large Language Models

2022

4 papers in library cite

Google Scholar

"DeepMind’s research showed that we weren't just compute-constrained, but data-constrained."

[50]Piqa: Reasoning About Physical Commonsense in Natural Language

Yonatan Bisk, Rowan Zellers, R. L. Bras, Jianfeng Gao, Yejin Choi - 2019

5 papers in library cite

Google Scholar

[51]Generating Long Sequences With Sparse Transformers

Rewon Child, Scott Gray, Alec Radford, Ilya Sutskever - 2019

5 papers in library cite

Google Scholar

[52]Multitask Prompted Training Enables Zero-Shot Task Generalization

V. Sanh, A. Webson, Colin Raffel, S. H. Bach, L. Sutawika, Z. Alyafeai, A. Chaffin, A. Stiegler, T. L. Scao, A. Raja - 2021

4 papers in library cite

Google Scholar

[53]On Faithfulness and Factuality in Abstractive Summarization

J. Maynez, Shashi Narayan, B. Bohnet, R. Mcdonald - 2020

6 papers in library cite

Google Scholar

[54]Don’t Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization

Shashi Narayan, S. B. Cohen, Mirella Lapata - 2018

3 papers in library cite

Google Scholar

[55]BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions

C. Clark, K. Lee, M. W. Chang, T. Kwiatkowski, Michael Collins, Kristina Toutanova - 2019

4 papers in library cite

Google Scholar

Part of SuperGLUE

Missing author list

[56]Scaling Language Models: Methods, Analysis & Insights from Training Gopher

2021

4 papers in library cite

Google Scholar

Gopher: Massive scaling + Google Deepmind

[57]Defending Against Neural Fake News

Rowan Zellers, Ari Holtzman, Hannah Rashkin, Yonatan Bisk, Ali Farhadi, F. Roesner, Yejin Choi - 2019

5 papers in library cite

Google Scholar

[58]Deep Learning Scaling Is Predictable, Empirically

J. Hestness, S. Narang, N. Ardalani, G. Diamos, Heewoo Jun, H. Kianinejad, M. Patwary, M. Ali, Yining Yang, Y. Zhou - 2017

5 papers in library cite

Google Scholar

[59]Adafactor: Adaptive Learning Rates With Sublinear Memory Cost

Noam Shazeer, M. Stern - 2018

3 papers in library cite

Google Scholar

Used for GPT3 training

[60]Retrieval Augmentation Reduces Hallucination in Conversation

K. Shuster, S. Poff, Mark Chen, Douwe Kiela, Jason Weston - 2021

3 papers in library cite

Google Scholar

[61]Measuring Coding Challenge Competence With Apps

Dan Hendrycks, Steven Basart, Saurav Kadavath, Mantas Mazeika, Akul Arora, E. Guo, Collin Burns, S. Puranik, He He, D. X. Song, Jacob Steinhardt - 2021

4 papers in library cite

Google Scholar

[62]Quac: Question Answering in Context

E. Choi, He He, M. Iyyer, M. Yatskar, W. T. Yih, Yejin Choi, Percy Liang, Luke Zettlemoyer - 2018

8 papers in library cite

Google Scholar

[63]Aligning AI With Shared Human Values

Dan Hendrycks, Collin Burns, Steven Basart, A. Critch, Jeffrey Li, Dawn Song, Jacob Steinhardt - 2020

3 papers in library cite

Google Scholar

[64]The Narrative Qa Reading Comprehension Challenge

T. Kocisky, J. Schwarz, Phil Blunsom, C. Dyer, K. M. Hermann, G. Melis, Edward Grefenstette - 2018

4 papers in library cite

Google Scholar

They say this is "too hard" - why?

[65]Mathqa: Towards Interpretable Math Word Problem Solving With Operation-Based Formalisms

A. Amini, S. Gabriel, P. Lin, R. K. Kedziorski, Yejin Choi, Hananneh Hajishirzi - 2019

6 papers in library cite

Google Scholar

[66]Lipstick on a Pig: Debiasing Methods Cover Up Systematic Gender Biases in Word Embeddings but Do Not Remove Them

H. Gonen, Y. Goldberg - 2019

4 papers in library cite

Google Scholar

Debiasing doesnt work as expected!

[67]Learning to Execute

Wojciech Zaremba, Ilya Sutskever - 2014

8 papers in library cite

Google Scholar

They try to execute python code

[68]Scaling Laws for Autoregressive Generative Modeling

Tom Henighan, Jared Kaplan, M. Katz, Mark Chen, Christopher Hesse, J. Jackson, Heewoo Jun, Tom B. Brown, Prafulla Dhariwal, Scott Gray, C. Hallacy, Benjamin Mann, Alec Radford, Aditya Ramesh, Nick Ryder, Daniel M. Ziegler, John Schulman, Dario Amodei, Sam McCandlish - 2020

5 papers in library cite

Google Scholar

[69]Stress Test Evaluation for Natural Language Inference

A. Naik, A. Ravichander, N. M. Sadeh, C. P. Rose, Graham Neubig - 2018

4 papers in library cite

Google Scholar

A bit flopped but I like the idea - they test if the system is truly making inferences.

[70]Word Sense Disambiguation: A Unified Evaluation Framework and Empirical Comparison

A. Raganato, J. C. Collados, R. Navigli - 2017

2 papers in library cite

Google Scholar

Framework for word sense disambiguation

[71]AI Safety via Debate

Geoffrey Irving, Paul Christiano, Dario Amodei - 2018

8 papers in library cite

Google Scholar

[72]Gender Bias in Coreference Resolution

R. Rudinger, J. Naradowsky, B. Leonard, B. V. Durme - 2018

6 papers in library cite

Google Scholar

[73]A General Language Assistant as a Laboratory for Alignment

Amanda Askell, Yuntao Bai, Anna Chen, Dawn Drain, Deep Ganguli, Tom Henighan, Andy Jones, Nicholas Joseph, Benjamin Mann, Nova Dassarma, Nelson Elhage, Zac Hatfield Dodds, Danny Hernandez, Jackson Kernion, Kamal Ndousse, Catherine Olsson, Dario Amodei, Tom B. Brown, Jack Clark, Sam McCandlish, Christopher Olah, Jared Kaplan - 2021

5 papers in library cite

Google Scholar

Start of the Anthropic RLHF journey. Not sure if worth the read but it's an option.

[74]Lamda: Language Models for Dialog Applications

R. Thoppilan, D. D. Freitas, J. Hall, Noam Shazeer, A. Kulshreshtha, H. Cheng, A. Jin, T. Bos, L. Baker, Yulun Du, Yiwei Li, Honglak Lee, H. S. Zheng, A. Ghafouri, M. Menegali, Y. Huang, M. Krikun, D. Lepikhin, J. Qin, Deli Chen, Yiheng Xu, Ziru Chen, A. Roberts, Maarten Bosma, Y. Zhou, C. C. Chang, I. Krivokon, W. Rusch, M. Pickett, K. S. M. Hellstern, M. R. Morris, T. Doshi, R. D. Santos, T. Duke, J. Soraker, B. Zevenbergen, V. Prabhakaran, M. Diaz, B. Hutchinson, K. Olson, A. Molina, E. H. John, Jaehoon Lee, L. Aroyo, R. Rajakumar, A. Butryna, M. Lamm, V. Kuzmina, J. Fenton, A. Cohen, R. Bernstein, R. Kurzweil, B. A. Arcas, C. Cui, M. Croak, E. Chi, Quoc Le - 2022

5 papers in library cite

Google Scholar

[75]Show Your Work: Scratchpads for Intermediate Computation With Language Models

Maxwell Nye, A. J. Andreassen, Guy Gur Ari, Henryk Michalewski, Jacob Austin, D. Bieber, David Dohan, Aitor Lewkowycz, Maarten Bosma, D. Luan, Charles Sutton, Augustus Odena - 2021

5 papers in library cite

Google Scholar

First reasoning?

[76]Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods

J. Zhao, Tianle Wang, M. Yatskar, V. Ordonez, K. W. Chang - 2018

3 papers in library cite

Google Scholar

[77]Parallel Distributed Processing: Volume 1: Foundations

D. E. Rumelhart, J. L. Mcclelland - 1986

3 papers in library cite

Google Scholar

[78]How Can We Know What Language Models Know?

Zhejun Jiang, F. F. Xu, J. Araki, Graham Neubig - 2019

2 papers in library cite

Google Scholar

[79]On the Measure of Intelligence

Francois Chollet - 2019

2 papers in library cite

Google Scholar

[80]Deep Double Descent: Where Bigger Models and More Data Hurt

P. Nakkiran, G. Kaplun, Y. Bansal, T. Yang, B. Barak, Ilya Sutskever - 2019

2 papers in library cite

Google Scholar

[81]Unifiedqa: Crossing Format Boundaries With a Single Qa System

Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Oyvind Tafjord, Peter Clark, Hananneh Hajishirzi - 2020

5 papers in library cite

Google Scholar

Not sure if I want to read it. only ~400 citations

[82]Character-Aware Neural Language Models

Yoon Kim, Yacine Jernite, D. Sontag, Alexander M. Rush - 2016

7 papers in library cite

Google Scholar

[83]Language (Technology) Is Power: A Critical Survey of "Bias" in NLP

S. L. Blodgett, S. Barocas, H. D. Iii, H. Wallach - 2020

7 papers in library cite

Google Scholar

[84]A Constructive Prediction of the Generalization Error Across Scales

J. S. Rosenfeld, A. Rosenfeld, Yonatan Belinkov, N. Shavit - 2019

5 papers in library cite

Google Scholar

[85]A Corpus and Evaluation Framework for Deeper Understanding of Commonsense Stories

N. Mostafazadeh, N. Chambers, X. He, D. Parikh, D. Batra, L. Vanderwende, P. Kohli, J. Allen - 2016

5 papers in library cite

Google Scholar

[86]English Gigaword

R. Parker, D. Graff, J. Kong, K. Chen, K. Maeda - 2011

5 papers in library cite

Google Scholar

[87]Hybrid Computing Using a Neural Network With Dynamic External Memory

Alex Graves, G. Wayne, M. Reynolds, T. Harley, Ivo Danihelka, A. G. Barwinska, S. G. Colmenarejo, Edward Grefenstette, T. Ramalho, J. Agapiou, A. P. Badia, K. M. Hermann, Y. Zwols, G. Ostrovski, A. Cain, H. King, C. Summerfield, Phil Blunsom, Koray Kavukcuoglu, Demis Hassabis - 2016

5 papers in library cite

Google Scholar

[88]Scaling Laws for Transfer

Danny Hernandez, Jared Kaplan, Tom Henighan, Sam McCandlish - 2021

5 papers in library cite

Google Scholar

[89]A Surprisingly Robust Trick for Winograd Schema Challenge

V. Kocijan, A. M. Cretu, O. M. Camburu, Y. Yordanov, T. Lukasiewicz - 2019

4 papers in library cite

Google Scholar

[90]Alignment of Language Agents

Z. Kenton, Tom Everitt, L. Weidinger, I. Gabriel, V. Mikulik, Geoffrey Irving - 2021

4 papers in library cite

Google Scholar

[91]Artificial Intelligence: A Modern Approach

S. Russell, P. Norvig - 1995

4 papers in library cite

Google Scholar

[92]Assessing bert's Syntactic Abilities

Y. Goldberg - 2019

4 papers in library cite

Google Scholar

[93]BBQ: A Hand-Built Bias Benchmark for Question Answering

Alicia Parrish, Anna Chen, Nikita Nangia, Vishakh Padmakumar, Jason Phang, Jana Thompson, Phu Mon Htut, S. Bowman - 2022

4 papers in library cite

Google Scholar

[94]Beyond Human-Level Accuracy: Computational Challenges in Deep Learning

J. Hestness, N. Ardalani, G. Diamos - 2019

4 papers in library cite

Google Scholar

[95]Choice of Plausible Alternatives: An Evaluation of Commonsense Causal Reasoning

M. Roemmele, C. A. Bejan, A. S. Gordon - 2011

4 papers in library cite

Google Scholar

[96]Cross-Task Generalization via Natural Language Crowdsourcing Instructions

Swaroop Mishra, Daniel Khashabi, Chitta Baral, Hananneh Hajishirzi - 2021

4 papers in library cite

Google Scholar

[97]DisSent: Learning Sentence Representations From Explicit Discourse Relations

Allen Nie, E. Bennett, N. Goodman - 2017

4 papers in library cite

Google Scholar

[98]Extracting Training Data From Large Language Models

Nicholas Carlini, F. Tramer, E. Wallace, M. Jagielski, Ariel Herbert-Voss, K. Lee, A. Roberts, Tom B. Brown, Dawn Song, U. Erlingsson - 2021

4 papers in library cite

Google Scholar

[99]On Calibration of Modern Neural Networks

C. Guo, G. Pleiss, Y. S. Sun, K. Q. Weinberger - 2017

4 papers in library cite

Google Scholar

[100]Recipes for Safety in Open-Domain Chatbots

Jiacheng Xu, D. Ju, M. Li, Y. Lan Boureau, Jason Weston, E. Dinan - 2020

4 papers in library cite

Google Scholar

[101]ReCoRD: Bridging the Gap Between Human and Machine Commonsense Reading Comprehension

S. Zhang, Xiaodong Liu, Joseph Liu, Jianfeng Gao, K. Duh, B. V. Durme - 2018

4 papers in library cite

Google Scholar

[102]Stereoset: Measuring Stereotypical Bias in Pretrained Language Models

Moin Nadeem, A. Bethke, Siva Reddy - 2020

4 papers in library cite

Google Scholar

[103]The Woman Worked as a Babysitter: On Biases in Language Generation

E. Sheng, K. W. Chang, P. Natarajan, Nanyun Peng - 2019

4 papers in library cite

Google Scholar

[104]Automating String Processing in Spreadsheets Using Input-Output Examples

S. Gulwani - 2011

3 papers in library cite

Google Scholar

[105]Calibrate Before Use: Improving Few-Shot Performance of Language Models

Zhuoye Zhao, E. Wallace, S. Feng, Dan Klein, Shivalika Singh - 2021

3 papers in library cite

Google Scholar

[106]Climbing Towards NLU: On Meaning, Form, and Understanding in the Age of Data

E. M. Bender, A. Koller - 2020

3 papers in library cite

Google Scholar

[107]Colorless Green Recurrent Networks Dream Hierarchically

K. Gulordava, Piotr Bojanowski, E. Grave, Tal Linzen, M. Baroni - 2018

3 papers in library cite

Google Scholar

[108]Commonsenseqa: A Question Answering Challenge Targeting Commonsense Knowledge

A. Talmor, J. Herzig, N. Lourie, Jonathan Berant - 2019

3 papers in library cite

Google Scholar

[109]Deepcoder: Learning to Write Programs

M. Balog, A. L. Gaunt, M. Brockschmidt, S. Nowozin, D. Tarlow - 2017

3 papers in library cite

Google Scholar

[110]Finding Contradictions in Text

M. C. D. Marneffe, A. N. Rafferty, Christopher D. Manning - 2008

3 papers in library cite

Google Scholar

[111]GPT-J-6B: A 6 Billion Parameter Autoregressive Language Model

B. Wang, A. Komatsuzaki - 2021

3 papers in library cite

Google Scholar

[112]Learning Language Games Through Interaction

S. I. Wang, Percy Liang, Christopher D. Manning - 2016

3 papers in library cite

Google Scholar

[113]Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference

J. Pearl - 1988

3 papers in library cite

Google Scholar

[114]Release Strategies and the Social Impacts of Language Models

I. Solaiman, Miles Brundage, Jack Clark, Amanda Askell, Ariel Herbert-Voss, Jeffrey Wu, Alec Radford, Gretchen Krueger, J. W. Kim, S. Kreps, M. Mccain, A. Newhouse, J. Blazakis, K. Mcguffie, J. Wang - 2019

3 papers in library cite

Google Scholar

[115]Semi-Supervised Multitask Learning for Sequence Labeling

M. Rei - 2017

3 papers in library cite

Google Scholar

[116]Targeted Syntactic Evaluation of Language Models

R. Marvin, Tal Linzen - 2018

3 papers in library cite

Google Scholar

[117]The CommitmentBank: Investigating Projection in Naturally Occurring Discourse

M. C. D. Marneffe, M. Simons, J. Tonhauser - 2019

3 papers in library cite

Google Scholar

[118]The new york times annotated corpus

E. Sandhaus - 2008

3 papers in library cite

Google Scholar

[119]The Trouble With Bias

K. Crawford - 2017

3 papers in library cite

Google Scholar

[120]True Few-Shot Learning With Language Models

Ethan Perez, Douwe Kiela, Kyunghyun Cho - 2021

3 papers in library cite

Google Scholar

[121]A Survey of Machine Learning for Big Code and Naturalness

M. Allamanis, E. T. Barr, P. Devanbu, Charles Sutton - 2018

2 papers in library cite

Google Scholar

[122]All the News That's Fit to Fabricate: Ai-Generated Text as a Tool of Media Misinformation

S. E. Kreps, M. Mccain, Miles Brundage - 2020

2 papers in library cite

Google Scholar

[123]Analysing Mathematical Reasoning Abilities of Neural Models

D. Saxton, Edward Grefenstette, F. Hill, P. Kohli - 2019

2 papers in library cite

Google Scholar

[124]Asking and Answering Questions to Evaluate the Factual Consistency of Summaries

A. Wang, Kyunghyun Cho, Martha Lewis - 2020

2 papers in library cite

Google Scholar

[125]Automatic Detection of Generated Text Is Easiest When Humans Are Fooled

Daphne Ippolito, D. Duckworth, Chris Callison Burch, D. Eck - 2019

2 papers in library cite

Google Scholar

[126]BLEURT: Learning Robust Metrics for Text Generation

Thibault Sellam, Dipanjan Das, A. P. Parikh - 2020

2 papers in library cite

Google Scholar

[127]Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift

Y. Ovadia, E. Fertig, J. Ren, Z. Nado, D. Sculley, S. Nowozin, J. V. Dillon, B. Lakshminarayanan, J. Snoek - 2019

2 papers in library cite

Google Scholar

[128]Carbon Emissions and Large Neural Network Training

D. Patterson, Joseph Gonzalez, Quoc Le, C. Liang, L. M. Munguia, D. Rothchild, D. So, M. Texier, Jeffrey Dean - 2021

2 papers in library cite

Google Scholar

[129]Causation, Prediction, and Search

P. Spirtes, C. Glymour, R. Scheines - 1993

2 papers in library cite

Google Scholar

[130]Clevr: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning

J. Johnson, B. Hariharan, Laurens Van Der Maaten, Li Fei Fei, C. L. Zitnick, Ross Girshick - 2017

2 papers in library cite

Google Scholar

[131]Code2seq: Generating Sequences From Structured Representations of Code

U. Alon, S. Brody, Omer Levy, E. Yahav - 2018

2 papers in library cite

Google Scholar

[132]Comet: Commonsense Transformers for Automatic Knowledge Graph Construction

Antoine Bosselut, Hannah Rashkin, Maarten Sap, C. Malaviya, A. Elikyilmaz, Yejin Choi - 2019

2 papers in library cite

Google Scholar

[133]Diagram Understanding in Geometry Questions

M. J. Seo, Hananneh Hajishirzi, Ali Farhadi, Oren Etzioni - 2014

2 papers in library cite

Google Scholar

[134]Dynabench: Rethinking Bench- Marking in NLP

Douwe Kiela, M. Bartolo, Y. Nie, D. Kaushik, A. Geiger, Ziyi Wu, B. Vidgen, G. Prasad, A. Singh, P. Ringshia - 2021

2 papers in library cite

Google Scholar

[135]Execution-Guided Neural Program Synthesis

X. Chen, C. L. Liu, Dawn Song - 2019

2 papers in library cite

Google Scholar

[136]Explaining Neural Scaling Laws

Yasaman Bahri, Ethan Dyer, Jared Kaplan, Jaehoon Lee, U. Sharma - 2021

2 papers in library cite

Google Scholar

[137]FEVER: A Large-Scale Dataset for Fact Extraction and VERification

J. Thorne, A. Vlachos, C. Christodoulopoulos, A. Mittal - 2018

2 papers in library cite

Google Scholar

[138]Finding Microaggressions in the Wild: A Case for Locating Elusive Phenomena in Social Media Posts

L. Breitfeller, E. Ahn, David Jurgens, Y. Tsvetkov - 2019

2 papers in library cite

Google Scholar

[139]From Recognition to Cognition: Visual Commonsense Reasoning

Rowan Zellers, Yonatan Bisk, Ali Farhadi, Yejin Choi - 2018

2 papers in library cite

Google Scholar

[140]Gamepad: A Learning Environment for Theorem Proving

Dong Huang, Prafulla Dhariwal, Dawn Song, Ilya Sutskever - 2019

2 papers in library cite

Google Scholar

[141]Generative Pretraining From Pixels

Mark Chen, Alec Radford, Rewon Child, Jeffrey Wu, Heewoo Jun, D. Luan, Ilya Sutskever - 2020

2 papers in library cite

Google Scholar

[142]Holographic Reduced Representation: Distributed Representation for Cognitive Structures

T. A. Plate - 2003

2 papers in library cite

Google Scholar

[143]How Grammatical Is Character-Level Neural Machine Translation? Assessing Mt quality With Contrastive Translation Pairs

R. Sennrich - 2016

2 papers in library cite

Google Scholar

[144]Identifying and Reducing Gender Bias in Word-Level Language Models

S. Bordia, S. Bowman - 2019

2 papers in library cite

Google Scholar

[145]Inductive Programming: A Survey of Program Synthesis Techniques

E. Kitzelmann - 2010

2 papers in library cite

Google Scholar

[146]Inferring LISP Programs From Examples

D. E. Shaw, W. R. Swartout, C. C. Green - 1975

2 papers in library cite

Google Scholar

[147]Language Models Are Few-Shot Multilingual Learners

Genta Indra Winata, Andrea Madotto, Zongyu Lin, Rosanne Liu, Jason Yosinski, Pascale Fung - 2021

2 papers in library cite

Google Scholar

[148]Learning to Solve Arithmetic Word Problems With Verb Categorization

M. J. Hosseini, Hananneh Hajishirzi, Oren Etzioni, Nate Kushman - 2014

2 papers in library cite

Google Scholar

[149]Lexicosyntactic Inference in Neural Models

A. S. White, R. Rudinger, K. Rawlins, B. V. Durme - 2018

2 papers in library cite

Google Scholar

[150]mt5: A Massively Multilingual Pre-Trained Text-to-Text Transformer

L. Xue, Noah Constant, A. Roberts, Mihir Kale, R. A. Rfou, A. Siddhant, A. Barua, Colin Raffel - 2020

2 papers in library cite

Google Scholar

[151]Multi-Prototype Vector-Space Models of Word Meaning

J. Reisinger, R. J. Mooney - 2010

2 papers in library cite

Google Scholar

[152]Neural Arithmetic Logic Units

A. Trask, F. Hill, S. Reed, J. Rae, C. Dyer, Phil Blunsom - 2018

2 papers in library cite

Google Scholar

[153]olmpics-on What Language Model Pre-Training Captures

A. Talmor, Y. Elazar, Y. Goldberg, Jonathan Berant - 2019

2 papers in library cite

Google Scholar

[154]On Measuring Social Biases in Sentence Encoders

C. May, A. Wang, S. Bordia, Samuel R. Bowman, R. Rudinger - 2019

2 papers in library cite

Google Scholar

[155]On the Proper Treatment of Connectionism

P. Smolensky - 1988

2 papers in library cite

Google Scholar

[156]Participatory Research for Low-Resourced Machine Translation: A Case Study in African Languages

W. Nekoto, V. Marivate, T. Matsila, T. Fasubaa, T. Fagbohungbe, S. O. Akinola, S. Muhammad, S. K. Kabenamualu, Salomey Osei, F. Sackey, Rubungo Andre Niyongabo, R. Macharm, P. Ogayo, O. Ahia, M. M. Berhe, M. Adeyemi, M. M. Selinga, L. Okegbemi, L. Martinus, K. Tajudeen, K. Degila, K. Ogueji, K. Siminyu, J. Kreutzer, J. Webster, J. T. Ali, J. Abbott, I. Orife, I. Ezeani, I. A. Dangana, H. Kamper, H. Elsahar, G. Duru, G. Kioko, M. Espoir, E. V. Biljon, D. Whitenack, C. Onyefuluchi, C. C. Emezue, B. F. P. Dossou, B. Sibanda, B. Bassey, A. Olabiyi, A. Ramkilowan, A. Oktem, A. Akinfaderin, A. Bashir - 2020

2 papers in library cite

Google Scholar

[157]Persistent Anti-Muslim Bias in Large Language Models

Abubakar Abid, Maheen Farooqi, James Zou - 2021

2 papers in library cite

Google Scholar

[158]Playing Atari With Deep Reinforcement Learning

V. Mnih, Koray Kavukcuoglu, D. Silver, Alex Graves, I. Antonoglou, Daan Wierstra, M. Riedmiller - 2013

2 papers in library cite

Google Scholar

[159]Program Synthesis

S. Gulwani, O. Polozov, R. Singh - 2017

2 papers in library cite

Google Scholar

[160]Programming Puzzles

Tal Schuster, A. Kalyan, O. Polozov, A. T. Kalai - 2021

2 papers in library cite

Google Scholar

[161]Resolving Complex Cases of Definite Pronouns: The Winograd Schema Challenge

A. Rahman, V. Ng - 2012

2 papers in library cite

Google Scholar

[162]Revisiting the Poverty of the Stimulus: Hierarchical Generalization Without a Hierarchical Bias in Recurrent Neural Networks

R. T. Mccoy, Robert Frank, Tal Linzen - 2018

2 papers in library cite

Google Scholar

[163]Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP

Timo Schick, S. Udupa, Hinrich Schutze - 2021

2 papers in library cite

Google Scholar

[164]Social Bias Frames: Reasoning About Social and Power Implications of Language

Maarten Sap, S. Gabriel, Lianhui Qin, Dan Jurafsky, Noah A. Smith, Yejin Choi - 2020

2 papers in library cite

Google Scholar

[165]SocialIQa: Common-Sense Reasoning About Social Interactions

Maarten Sap, Hannah Rashkin, Deli Chen, Ronan Lebras, Yejin Choi - 2019

2 papers in library cite

Google Scholar

[166]Spreadsheet Data Manipulation Using Examples

S. Gulwani, W. R. Harris, R. Singh - 2012

2 papers in library cite

Google Scholar

[167]Textworld: A Learning Environment for Text-Based Games

M. A. Cote, A. Kadar, X. Yuan, B. Kybartas, T. Barnes, E. Fine, J. Moore, M. J. Hausknecht, L. E. Asri, M. Adada, W. Tay, A. Trischler - 2018

2 papers in library cite

Google Scholar

[168]The Bitter Lesson

Richard S. Sutton - 2019

2 papers in library cite

Google Scholar

[169]The Effect of Natural Distribution Shift on Question Answering Models

John Miller, Karl Krauth, Benjamin Recht, Ludwig Schmidt - 2020

2 papers in library cite

Google Scholar

[170]The Next Decade in Ai: Four Steps Towards Robust Artificial Intelligence

G. Marcus - 2020

2 papers in library cite

Google Scholar

[171]The Penn Treebank: Annotating Predicate Argument Structure

M. Marcus, G. Kim, Mary Ann Marcinkiewicz, R. Macintyre, A. Bies, M. Ferguson, K. Katz, B. Schasberger - 1994

2 papers in library cite

Google Scholar

[172]Touchdown: Natural Language Navigation and Spatial Reasoning in Visual Street Environments

H. Chen, A. Suhr, D. K. Misra, N. Snavely, Y. Artzi - 2018

2 papers in library cite

Google Scholar

[173]Towards Scalable Multi-Domain Conversational Agents: The Schema-Guided dialogue Dataset

Abhinav Rastogi, X. Zang, S. Sunkara, R. Gupta, P. Khaitan - 2020

2 papers in library cite

Google Scholar

[174]Tracking the World State With Recurrent Entity Networks

M. Henaff, Jason Weston, A. Szlam, Antoine Bordes, Yann Lecun - 2016

2 papers in library cite

Google Scholar

[175]Understanding the Capabilities, Limitations, and Societal Impact of Large Language Models

A. Tamkin, Miles Brundage, Jack Clark, Deep Ganguli - 2021

2 papers in library cite

Google Scholar

[176]"Andere Zeiten, Andere Lehren": Sprach-Und Kulturgeschichtliche betrachtungen zum sprichwort

W. Mieder - 2019

1 paper in library cites

Google Scholar

[177]"Going on a Vacation" Takes Longer Than "Going for a Walk": A Study of Temporal Commonsense Understanding

B. Zhou, Daniel Khashabi, Q. Ning, Dan Roth - 2019

1 paper in library cites

Google Scholar

[178]3d-Deep: 3-Dimensional Deep-Learning Based on Elevation Patterns for Road Scene Interpretation

A. Hernandez, S. Woo, H. Corrales, I. Parra, Ethan Kim, D. F. Llorca, M. A. Sotelo - 2020

1 paper in library cites

Google Scholar

[179]A BERT-based Approach for Automatic Humor Detection and Scoring

J. Mao, Weizhou Liu - 2019

1 paper in library cites

Google Scholar

[180]A Burstiness-Aware Approach for Document Dating

D. Kotsakos, T. Lappas, D. Kotzias, D. Gunopulos, N. Kanhabua, K. Norvag - 2014

1 paper in library cites

Google Scholar

[181]A Clustering Approach for Nearly Unsupervised Recognition of Nonliteral Language

J. Birke, A. Sarkar - 2006

1 paper in library cites

Google Scholar

[182]A Framework for the Computational Linguistic Analysis of Dehumanization

J. Mendelsohn, Y. Tsvetkov, Dan Jurafsky - 2020

1 paper in library cites

Google Scholar

[183]A General Psychoevolutionary Theory of Emotion

R. Plutchik - 1980

1 paper in library cites

Google Scholar

[184]A Large Self-Annotated Corpus for Sarcasm

M. Khodak, N. Saunshi, K. Vodrahalli - 2017

1 paper in library cites

Google Scholar

[185]A Method for Linguistic Metaphor Identification: From MIP to MIPVU

G. J. Steen, A. G. Dorst, J. B. Herrmann, A. A. Kaal, T. Krennmayr, T. Pasma - 2010

1 paper in library cites

Google Scholar

[186]A Proverb in Mind: The Cognitive Science of Proverbial Wit and Wisdom

R. P. Honeck - 1997

1 paper in library cites

Google Scholar

[187]A Report on the 2020 Sarcasm Detection Shared Task

D. Ghosh, A. Vajpayee, S. Muresan - 2020

1 paper in library cites

Google Scholar

[188]A Review of Speaker Diarization: Recent Advances With Deep Learning

T. J. Park, N. Kanda, D. Dimitriadis, K. J. Han, S. Watanabe, S. Narayanan - 2021

1 paper in library cites

Google Scholar

[189]A Simple Neural Network Module for Relational Reasoning

Adam Santoro, D. Raposo, D. G. T. Barrett, M. Malinowski, Razvan Pascanu, P. Battaglia, T. Lillicrap - 2017

1 paper in library cites

Google Scholar

[190]A Survey of Neural Networks and Formal Languages

J. Ackerman, G. Cybenko - 2020

1 paper in library cites

Google Scholar

[191]A Survey on Approaches to Computational Humor Generation

M. Amin, M. Burghardt - 2020

1 paper in library cites

Google Scholar

[192]A Survey on Computational Metaphor Processing

S. Rai, S. Chakraverty - 2020

1 paper in library cites

Google Scholar

[193]A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios

M. A. Hedderich, L. Lange, H. Adel, J. Strotgen, D. Klakow - 2021

1 paper in library cites

Google Scholar

[194]A Transformer-Based Approach to Irony and Sarcasm Detection

R. A. Potamias, G. Siolas, A. G. Stafylopatis - 2020

1 paper in library cites

Google Scholar

[195]A Treatise of Human Nature

D. Hume - 1739

1 paper in library cites

Google Scholar

[196]A Very Unlikely Chess Game

S. Alexander - 2020

1 paper in library cites

Google Scholar

[197]A Word at a Time: Computing Word Relatedness Using Temporal Semantic Analysis

K. Radinsky, E. Agichtein, E. Gabrilovich, S. Markovitch - 2011

1 paper in library cites

Google Scholar

[198]Abductive Commonsense Reasoning

C. Bhagavatula, R. L. Bras, C. Malaviya, K. Sakaguchi, Ari Holtzman, Hannah Rashkin, D. Downey, S. W. T. Yih, Yejin Choi - 2019

1 paper in library cites

Google Scholar

[199]Abstraction and Reasoning Challenge

Francois Chollet - 2020

1 paper in library cites

Google Scholar

[200]Acquisition of Chess Knowledge in AlphaZero

T. Mcgrath, A. Kapishnikov, N. Tomasev, A. Pearce, Demis Hassabis, B. Kim, U. Paquet, V. Kramnik - 2021

1 paper in library cites

Google Scholar

[201]ActivityNet-QA: A Dataset for Understanding Complex Web Videos via Question Answering

Z. Yu, D. X. Xu, J. Yu, Tao Yu, Zhuoye Zhao, Y. Zhuang, D. Tao - 2019

1 paper in library cites

Google Scholar

[202]Actual Causality

J. Y. Halpern - 2016

1 paper in library cites

Google Scholar

[203]Against Conventional Wisdom

Alexander W. Kocurek, Ethan Jerzak, Rachel Etta Rudolph - 2020

1 paper in library cites

Google Scholar

[204]Algorithmic Regulation and the Rule of Law

M. Hildebrandt - 2018

1 paper in library cites

Google Scholar

[205]All Your Questions Answered

J. Shane - 2020

1 paper in library cites

Google Scholar

[206]An Advanced Test of Theory of Mind: Understanding of Story Characters Thoughts and Feelings by Able Autistic, Mentally Handicapped, and Normal Children and Adults

F. G. E. Happe - 1994

1 paper in library cites

Google Scholar

[207]An Analysis of the Adaptation Speed of Causal Models

R. L. Priol, R. B. Harikandeh, Yoshua Bengio, S. L. Julien - 2020

1 paper in library cites

Google Scholar

[208]An Effective, Low-Cost Measure of Semantic Relatedness Obtained From Wikipedia Links

D. Milne, I. H. Witten - 2008

1 paper in library cites

Google Scholar

[209]An Embedding Method for Unseen Words Considering Contextual Information and Morphological Information

M. S. Won, Yejin Choi, S. Kim, C. Na, J. H. Lee - 2021

1 paper in library cites

Google Scholar

[210]Analog Retrieval by Constraint Satisfaction

P. Thagard, K. J. Holyoak, G. Nelson, D. Gochfeld - 1990

1 paper in library cites

Google Scholar

[211]Analogy and Relational Reasoning

K. J. Holyoak - 2012

1 paper in library cites

Google Scholar

[212]Annotating Character Relationships in Literary Texts

P. Massey, P. Xia, D. Bamman, Noah A. Smith - 2015

1 paper in library cites

Google Scholar

[213]Application of Theorem Proving to Problem Solving

C. Green - 1981

1 paper in library cites

Google Scholar

[214]Applying the naïve Bayes Classifier With Kernel Density Estimation to the Prediction of Protein-Protein Interaction Sites

Y. Murakami, K. Mizuguchi - 2010

1 paper in library cites

Google Scholar

[215]Applying the Transformer to Character-Level Transduction

S. Wu, R. Cotterell, M. Hulden - 2020

1 paper in library cites

Google Scholar

[216]Are Natural Language Inference Models IMPPRESsive? Learning IMPlicature and PRESupposition

P. Jeretic, Alex Warstadt, S. Bhooshan, A. Williams - 2020

1 paper in library cites

Google Scholar

[217]Are Neural Open-Domain Dialog Systems Robust to Speech Recognition Errors in the Dialog History? An Empirical Study

Karthik Gopalakrishnan, Behnam Hedayatnia, Lisa Wang, Yibo Liu, D. H. Tur - 2020

1 paper in library cites

Google Scholar

[218]Are NLP Models Really Able to Solve Simple Math Word Problems?

A. Patel, S. Bhattamishra, N. Goyal - 2021

1 paper in library cites

Google Scholar

[219]Are Pretrained Language Models Symbolic Reasoners Over Knowledge?

N. Kassner, B. Krojer, Hinrich Schutze - 2020

1 paper in library cites

Google Scholar

[220]Artificial Intelligence as a Positive and Negative Factor in Global Risk

E. Yudkowsky - 2008

1 paper in library cites

Google Scholar

[221]Asking Clarifying Questions in Open-Domain Information-Seeking Conversations

M. Aliannejadi, H. Zamani, F. Crestani, W. B. Croft - 2019

1 paper in library cites

Google Scholar

[222]Assertion

R. Stalnaker - 1978

1 paper in library cites

Google Scholar

[223]Authorship Verification as a One-Class Classification Problem

M. Koppel, J. Schler - 2004

1 paper in library cites

Google Scholar

[224]Automated Data Transformation With Inductive Programming and Dynamic Background Knowledge

Lidia Contreras Ochando, C. Ferri, Jose Hernandez Orallo, Fernando Martinez Plumed, Maria Jose Ramirez Quintana, S. Katayama - 2020

1 paper in library cites

Google Scholar

[225]Automatic Detection of Satire in Twitter: A Psycholinguistic-Based Approach

M. D. P. S. Zarate, M. A. P. Valverde, M. A. R. Garcia, R. V. Garcia, G. A. Hernandez - 2017

1 paper in library cites

Google Scholar

[226]Automatic Disambiguation of English Puns

T. Miller, I. Gurevych - 2015

1 paper in library cites

Google Scholar

[227]Automatic Metaphor Interpretation as a Paraphrasing Task

Ekaterina Shutova - 2010

1 paper in library cites

Google Scholar

[228]Automatic Prediction of Discourse Connectives

E. Malmi, D. Pighin, S. Krause, M. Kozhevnikov - 2018

1 paper in library cites

Google Scholar

[229]Automatic Sarcasm Detection: A Survey

A. Joshi, P. Bhattacharyya, M. J. Carman - 2017

1 paper in library cites

Google Scholar

[230]AutoQA: From Databases to QA Semantic Parsers With Only Synthetic Training Data

S. Xu, S. Semnani, G. Campagna, M. Lam - 2020

1 paper in library cites

Google Scholar

[231]Big BiRD: A Large, Fine-Grained, Bigram relatedness dataset for Examining Semantic Composition

Shima Asaadi, Saif M. Mohammad, Svetlana Kiritchenko - 2019

1 paper in library cites

Google Scholar

[232]Big data's Disparate Impact

S. Barocas, A. D. Selbst - 2016

1 paper in library cites

Google Scholar

[233]Bridging anaphora Resolution as Question Answering

Yufang Hou - 2020

1 paper in library cites

Google Scholar

[234]Bringing Stories Alive: Generating Interactive Fiction Worlds

P. Ammanabrolu, W. Cheung, D. Tu, W. Broniec, M. O. Riedl - 2020

1 paper in library cites

Google Scholar

[235]ByT5: Towards a Token-Free Future With Pre-Trained Byte-to-Byte Models

L. Xue, A. Barua, Noah Constant, R. A. Rfou, S. Narang, Mihir Kale, A. Roberts, Colin Raffel - 2021

1 paper in library cites

Google Scholar

[236]Calibration of Pre-Trained Transformers

S. Desai, G. Durrett - 2020

1 paper in library cites

Google Scholar

[237]Can Self-Awareness Be Taught? Monkeys Pass the Mirror Test Again

A. W. Huttunen, G. K. Adams, M. L. Platt - 2017

1 paper in library cites

Google Scholar

[238]Causality: Models, Reasoning, and Inference

J. Pearl - 2000

1 paper in library cites

Google Scholar

[239]Celex2 ldc96114

R. H. Baayen, R. Piepenbrock, L. Gulikers - 1995

1 paper in library cites

Google Scholar

[240]ChePT - Applying Deep Neural Transformer Models to Chess Move Prediction and Self-Commentary

C. Swingle, H. Mellsop, A. Langshur - 2021

1 paper in library cites

Google Scholar

[241]Choice of Plausible Alternatives

A. S. Gordon - 2010

1 paper in library cites

Google Scholar

[242]CLaC at CLPsych 2019: Fusion of Neural Features and Predicted Class Probabilities for Suicide Risk Assessment Based on Online Posts

E. Mohammadi, H. Amini, L. Kosseim - 2019

1 paper in library cites

Google Scholar

[243]Closing Brackets With Recurrent Neural Networks

N. Skachkova, T. Trost, D. Klakow - 2018

1 paper in library cites

Google Scholar

[244]CLUTRR: A Diagnostic Benchmark for Inductive Reasoning From Text

K. Sinha, S. Sodhani, J. Dong, J. Pineau, W. L. Hamilton - 2019

1 paper in library cites

Google Scholar

[245]Cognitive and Emotional Demands of Black Humour Processing: The Role of Intelligence, Aggressiveness and Mood

U. Willinger, A. Hergovich, M. Schmoeger, M. Deckert, S. Stoettner, I. Bunda, A. Witting, M. Seidler, R. Moser, S. Kacena, D. Jaeckle, B. Loader, C. Mueller, E. Auff - 2017

1 paper in library cites

Google Scholar

[246]ColBERT: Using BERT Sentence Embedding for Humor Detection

I. Annamoradnejad, G. Zoghi - 2020

1 paper in library cites

Google Scholar

[247]Collective Classification for Fine-Grained Information Status

Katja Markert, Yufang Hou, Michael Strube - 2012

1 paper in library cites

Google Scholar

[248]Color Naming Across Languages Reflects Color Use

E. Gibson, R. Futrell, J. J. Ettinger, K. Mahowald, L. Bergen, S. Ratnasingam, M. Gibson, Steven T. Piantadosi, B. R. Conway - 2017

1 paper in library cites

Google Scholar

[249]COM2SENSE: A Commonsense Reasoning Benchmark With Complementary Sentences

Shivalika Singh, Nuan Wen, Yufang Hou, Pegah Alipoormolabashi, Te Lin Wu, X. Ma, Nanyun Peng - 2021

1 paper in library cites

Google Scholar

[250]Comparing Conventions

Rachel Etta Rudolph, Alexander W. Kocurek - 2020

1 paper in library cites

Google Scholar

[251]Comparisons of Sequence Labeling Algorithms and Extensions

N. Nguyen, Y. Guo - 2007

1 paper in library cites

Google Scholar

[252]Compositionality Decomposed: How Do Neural Networks Generalise?

Dieuwke Hupkes, V. Dankers, M. Mul, E. Bruni - 2020

1 paper in library cites

Google Scholar

[253]Comprehending Complex Concepts

G. L. Murphy - 1988

1 paper in library cites

Google Scholar

[254]Computational Argumentation Quality Assessment in Natural Language

H. Wachsmuth, N. Naderi, Yufang Hou, Y. Bilu, V. Prabhakaran, T. A. Thijm, G. Hirst, Benno Stein - 2017

1 paper in library cites

Google Scholar

[255]Context Based Spelling Correction

E. Mays, F. J. Damerau, R. L. Mercer - 1991

1 paper in library cites

Google Scholar

[256]Context-Free Transductions With Neural Stacks

Yiding Hao, W. Merrill, D. Angluin, Robert Frank, N. Amsel, A. Benz, S. Mendelsohn - 2018

1 paper in library cites

Google Scholar

[257]Continuity of Topic, Interaction, and Query: Learning to Quote in Online Conversations

Lisa Wang, Jeffrey Li, X. Zeng, Haowei Zhang, K. F. Wong - 2020

1 paper in library cites

Google Scholar

[258]Cooperation and Codenames: Understanding Natural Language Processing via Codenames

A. Kim, M. Ruzmaykin, A. Truong, A. Summerville - 2019

1 paper in library cites

Google Scholar

[259]Correlation-Based Network Analysis Combined With Machine Learning Techniques Highlight the Role of the Gaba Shunt in Brachypodium Sylvaticum Freezing Tolerance

D. Toubiana, N. Sade, L. Liu, M. D. M. R. Wilhelmi, Y. Brotman, U. Luzarowska, J. P. Vogel, E. Blumwald - 2020

1 paper in library cites

Google Scholar

[260]CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases

Tao Yu, Robert Zhang, H. Er, Shanda Li, E. Xue, Bo Pang, X. V. Lin, Y. C. Tan, T. Shi, Zhiyuan Li, Y. Jiang, Michihiro Yasunaga, S. Shim, T. Chen, A. Fabbri, Zhiyuan Li, L. C. Chen, Y. Z. Zhang, S. Dixit, V. Zhang, Caiming Xiong, Richard Socher, W. Lasecki, D. R. Radev - 2019

1 paper in library cites

Google Scholar

[261]Counterfactual Learning in Networks: An Empirical Study of Model Dependence

U. Shahid, E. Zheleva - 2021

1 paper in library cites

Google Scholar

[262]Counterlogicals as Counterconventionals

Alexander W. Kocurek, Ethan Jerzak - 2021

1 paper in library cites

Google Scholar

[263]Critical Thinking for Language Models

Gregor Betz, Christian Voigt, Kyle Richardson - 2020

1 paper in library cites

Google Scholar

[264]Critique of Pure Reason

I. Kant - 1781

1 paper in library cites

Google Scholar

[265]Cryopreservation Aims to Engineer Novel Ways to Freeze, Store, and Thaw Organs

M. Scudellari - 2017

1 paper in library cites

Google Scholar

[266]CycleGAN, a Master of Steganography

C. Chu, A. Zhmoginov, M. Sandler - 2017

1 paper in library cites

Google Scholar

[267]D³ Data-Driven Documents

M. Bostock, V. Ogievetsky, J. Heer - 2011

1 paper in library cites

Google Scholar

[268]Data Cleaning: A Case Study With OpenRefine and Trifacta Wrangler

D. P. Antonova, R. Tancheva - 2020

1 paper in library cites

Google Scholar

[269]Dating Documents Using Graph Convolution Networks

S. Vashishth, S. S. Dasgupta, S. N. Ray, P. Talukdar - 2018

1 paper in library cites

Google Scholar

[270]Decrypting Cryptic Crosswords: Semantically Complex Wordplay Puzzles as a Target for NLP

J. Rozner, Christopher Potts, K. Mahowald - 2021

1 paper in library cites

Google Scholar

[271]Deep and Dense Sarcasm Detection

D. Pelser, H. Murrell - 2019

1 paper in library cites

Google Scholar

[272]Deep API Programmer: Learning to Program With APIs

S. Bhupatiraju, R. Singh, Abdel Rahman Mohamed, P. Kohli - 2017

1 paper in library cites

Google Scholar

[273]Designing Effective Sparse Expert Models

Barret Zoph, I. Bello, S. Kumar, N. Du, Y. Huang, Jeffrey Dean, Noam Shazeer, William Fedus - 2022

1 paper in library cites

Google Scholar

[274]Detecting Hallucinated Content in Conditional Neural Sequence Generation

Chang Zhou, Graham Neubig, J. Gu, M. Diab, P. Guzman, Luke Zettlemoyer, M. Ghazvininejad - 2020

1 paper in library cites

Google Scholar

[275]Developing Self-Awareness in Robots via Inner Speech

A. Chella, A. Pipitone, A. Morin, F. Racy - 2020

1 paper in library cites

Google Scholar

[276]Did It Happen? The Pragmatic Complexity of Veridicality Assessment

M. C. D. Marneffe, Christopher D. Manning, Christopher Potts - 2012

1 paper in library cites

Google Scholar

[277]DiscSense: Automated Semantic Analysis of Discourse Markers

Damien Sileo, T. V. D. Cruys, C. Pradel, P. Muller - 2020

1 paper in library cites

Google Scholar

[278]Disfl-Qa: A Benchmark Dataset for Understanding Disfluencies in Question Answering

Aman Gupta, Jiacheng Xu, Shyam Upadhyay, Diyi Yang, Manaal Faruqui - 2021

1 paper in library cites

Google Scholar

[279]Distributed Representations and Nested Compositional Structure

T. A. Plate - 1994

1 paper in library cites

Google Scholar

[280]Do You Know That Florence Is Packed With Visitors? Evaluating State-of-the-Art Models of Speaker Commitment

N. Jiang, M. C. D. Marneffe - 2019

1 paper in library cites

Google Scholar

[281]Documenting Geographically and Contextually Diverse Data Sources: The BigScience Catalogue of Language Data and Resources

Angelina McMillan-Major, Z. Alyafeai, Stella Biderman, K. Chen, F. D. Toni, G. Dupont, H. Elsahar, Chris Emezue, A. F. Aji, S. Ilic, N. Khamis, C. Leong, M. Masoud, A. Soroa, P. O. Suarez, Z. Talat, D. V. Strien, Yacine Jernite - 2022

1 paper in library cites

Google Scholar

[282]Does He Wink or Does He Nod? A Challenging Benchmark for Evaluating Word Understanding of Language Models

Lutfi Kerem Senel, Hinrich Schutze - 2021

1 paper in library cites

Google Scholar

[283]Does Syntax Need to Grow on Trees? Sources of Hierarchical Inductive Bias in Sequence-to-Sequence Networks

R. T. Mccoy, Robert Frank, Tal Linzen - 2020

1 paper in library cites

Google Scholar

[284]Don't Patronize Me! An Annotated Dataset With Patronizing and Condescending Language Towards Vulnerable Communities

C. P. Almendros, L. E. Anke, S. Schockaert - 2020

1 paper in library cites

Google Scholar

[285]Dr.Fill: Crosswords and an Implemented Solver for Singly Weighted CSPs

M. L. Ginsberg - 2014

1 paper in library cites

Google Scholar

[286]Early Detection of Freeze Damage in Navel orange Fruit Using Nondestructive Low Intensity Ultrasound Coupled With Machine Learning

M. S. Firouz, A. Farahmandi, S. Hosseinpour - 2021

1 paper in library cites

Google Scholar

[287]ECONET: Effective Continual Pretraining of Language Models for Event Temporal Reasoning

R. Han, Xiang Ren, Nanyun Peng - 2020

1 paper in library cites

Google Scholar

[288]Effects of Directionality in Deductive Reasoning, I. The Comprehension of Single Relational Premises

K. Oberauer, O. Wilhelm - 2000

1 paper in library cites

Google Scholar

[289]Effects of Directionality in Deductive Reasoning, II. Premise Integration and Conclusion Evaluation

K. Oberauer, R. Hornig, A. Weidenfeld, O. Wilhelm - 2005

1 paper in library cites

Google Scholar

[290]Efficient Large Scale Language Modeling With Mixtures of Experts

M. Artetxe, S. Bhosale, N. Goyal, T. Mihaylov, M. Ott, Sam Shleifer, X. V. Lin, J. Du, S. Iyer, R. Pasunuru, G. Anantharaman, Xiang Lisa Li, S. Chen, H. Akin, M. Baines, L. Martin, Xinyu Zhou, P. S. Koura, B. O'horo, J. Wang, Luke Zettlemoyer, M. Diab, Z. Kozareva, Veselin Stoyanov - 2021

1 paper in library cites

Google Scholar

[291]Eliciting Good Teaching From Humans for Machine Learners

M. Cakmak, A. L. Thomaz - 2014

1 paper in library cites

Google Scholar

[292]Emoji Usage in TV Conversation

J. Cruse - 2015

1 paper in library cites

Google Scholar

[293]Emojineering Part 1: Machine Learning for Emoji Trends

I. Engineering - 2015

1 paper in library cites

Google Scholar

[294]EmoTag1200: Understanding the Association Between Emojis and Emotions

Abu Awal Md Shoeb, Gerard De Melo - 2020

1 paper in library cites

Google Scholar

[295]Encode, Tag, Realize: High-Precision Text Editing

E. Malmi, S. Krause, S. Rothe, D. Mirylenka, A. Severyn - 2019

1 paper in library cites

Google Scholar

[296]English Proverbs and Sayings

I. S. Gvarjalaze, D. I. Mchedlishvili - 1971

1 paper in library cites

Google Scholar

[297]ePiC: Employing Proverbs in Context as a Benchmark for Abstract Language Understanding

Sayan Ghosh, Shashank Srivastava - 2021

1 paper in library cites

Google Scholar

[298]Evaluating Approaches to Personalizing Language Models

M. King, P. Cook - 2020

1 paper in library cites

Google Scholar

[299]Evaluating Gender Bias in Machine Translation

G. Stanovsky, Noah A. Smith, Luke Zettlemoyer - 2019

1 paper in library cites

Google Scholar

[300]Evaluating the Ability of LSTMs to Learn Context-Free Grammars

L. Sennhauser, R. C. Berwick - 2018

1 paper in library cites

Google Scholar

[301]Evaluating Theory of Mind in Question Answering

A. Nematzadeh, K. Burns, E. Grant, A. Gopnik, T. Griffiths - 2018

1 paper in library cites

Google Scholar

[302]EventPlus: A Temporal Event Understanding Pipeline

M. D. Ma, Jian Sun, Michael Yang, K. H. Huang, Nuan Wen, Shivalika Singh, R. Han, Nanyun Peng - 2021

1 paper in library cites

Google Scholar

[303]Evolution and Impact of Bias in Human and Machine Learning algorithm Interaction

W. Sun, O. Nasraoui, P. Shafto - 2020

1 paper in library cites

Google Scholar

[304]Executing Instructions in Situated Collaborative Interactions

A. Suhr, C. Yan, J. Schluger, S. Yu, H. Khader, M. Mouallem, I. Zhang, Y. Artzi - 2019

1 paper in library cites

Google Scholar

[305]Expert, Crowdsourced, and Machine Assessment of Suicide Risk via Online Postings

H. C. Shing, S. Nair, A. Zirikly, M. Friedenberg, H. D. Iii, P. Resnik - 2018

1 paper in library cites

Google Scholar

[306]Explainable Artificial Intelligence via Bayesian Teaching

S. C. H. Yang, P. Shafto - 2017

1 paper in library cites

Google Scholar

[307]Extended Gloss Overlaps as a Measure of Semantic Relatedness

S. Banerjee, T. Pedersen - 2003

1 paper in library cites

Google Scholar

[308]Extending Machine Language Models Toward Human-Level Language Understanding

J. L. Mcclelland, F. Hill, M. Rudolph, J. Baldridge, Hinrich Schutze - 2019

1 paper in library cites

Google Scholar

[309]Few-Shot Bot: Prompt-Based Learning for Dialogue Systems

Andrea Madotto, Zongyu Lin, Genta Indra Winata, Pascale Fung - 2021

1 paper in library cites

Google Scholar

[310]Few-Shot Instruction Prompts for Pretrained Language Models to Detect Social Biases

S. Prabhumoye, R. Kocielnik, M. Shoeybi, A. Anandkumar, Bryan Catanzaro - 2021

1 paper in library cites

Google Scholar

[311]Figurative Language

A. M. Paul - 1970

1 paper in library cites

Google Scholar

[312]Figure Me Out: A Gold Standard Dataset for Metaphor Interpretation

O. Zayed, J. P. Mccrae, P. Buitelaar - 2020

1 paper in library cites

Google Scholar

[313]Fill in the BLANC: Human-Free Quality Estimation of Document Summaries

O. Vasilyev, V. Dharnidharka, J. Bohannon - 2020

1 paper in library cites

Google Scholar

[314]Fine-Grained Temporal Relation Extraction

S. Vashishtha, B. V. Durme, A. S. White - 2019

1 paper in library cites

Google Scholar

[315]Fleet System

S. Piantadosi - 2020

1 paper in library cites

Google Scholar

[316]Folk Psychology as a Theory

I. Ravenscroft - 2019

1 paper in library cites

Google Scholar

[317]General-Purpose Declarative Inductive Programming With Domain-Specific Background Knowledge for Data Wrangling Automation

Lidia Contreras Ochando, C. Ferri, Jose Hernandez Orallo, Fernando Martinez Plumed, Maria Jose Ramirez Quintana, S. Katayama - 2018

1 paper in library cites

Google Scholar

[318]Generating Expressions That Refer to Visible Objects

M. Mitchell, K. V. Deemter, E. Reiter - 2013

1 paper in library cites

Google Scholar

[319]Generating Fact Checking Explanations

P. Atanasova, J. G. Simonsen, C. Lioma, I. Augenstein - 2020

1 paper in library cites

Google Scholar

[320]Generating Natural Anagrams: Towards Language Generation Under Hard Combinatorial Constraints

M. Nishino, S. Takase, T. Hirao, M. Nagata - 2019

1 paper in library cites

Google Scholar

[321]Get Your Vitamin C! Robust Fact Verification With Contrastive Evidence

Tal Schuster, Adam Fisch, R. Barzilay - 2021

1 paper in library cites

Google Scholar

[322]Global Inference for Bridging anaphora Resolution

Yufang Hou, Katja Markert, Michael Strube - 2013

1 paper in library cites

Google Scholar

[323]GPT-3 Creative Fiction

G. Branwen - 2020

1 paper in library cites

Google Scholar

[324]GPT-3, Bloviator: OpenAI's Language Generator Has No Idea What It's Talking About

G. Marcus, E. Davis - 2020

1 paper in library cites

Google Scholar

[325]GQA: A New Dataset for Real-World Visual Reasoning and Compositional Question Answering

D. A. Hudson, Christopher D. Manning - 2019

1 paper in library cites

Google Scholar

[326]Grandmaster Level in StarCraft II Using Multi-Agent Reinforcement Learning

Oriol Vinyals, Igor Babuschkin, W. M. Czarnecki, M. Mathieu, A. Dudzik, J. Chung, D. H. Choi, R. Powell, T. Ewalds, P. Georgiev, J. Oh, D. Horgan, M. Kroiss, Ivo Danihelka, A. Huang, L. Sifre, T. Cai, J. P. Agapiou, M. Jaderberg, A. S. Vezhnevets, R. Leblond, T. Pohlen, V. Dalibard, D. Budden, Y. Sulsky, J. Molloy, T. L. Paine, C. G. Gulcehre, Zhengtao Wang, T. Pfaff, Yonghui Wu, R. Ring, D. Yogatama, D. Wunsch, K. Mckinney, O. Smith, T. Schaul, T. Lillicrap, Koray Kavukcuoglu, Demis Hassabis, C. Apps, D. Silver - 2019

1 paper in library cites

Google Scholar

[327]Harnessing Context Incongruity for Sarcasm Detection

A. Joshi, Vedang Sharma, P. Bhattacharyya - 2015

1 paper in library cites

Google Scholar

[328]History of Kannada Literature: Readership Lectures

R. Narasimhachar - 1988

1 paper in library cites

Google Scholar

[329]How Do Humans Teach: On Curriculum Learning and Teaching Dimension

F. Khan, B. Mutlu, Jiacheng Zhu - 2011

1 paper in library cites

Google Scholar

[330]How Good Is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models

P. Rust, J. Pfeiffer, I. Vulic, Sebastian Ruder, I. Gurevych - 2020

1 paper in library cites

Google Scholar

[331]Humor Detection: A Transformer Gets the Last Laugh

O. Weller, K. Seppi - 2019

1 paper in library cites

Google Scholar

[332]Humor in Language

S. Attardo - 2017

1 paper in library cites

Google Scholar

[333]Humor Recognition and Humor Anchor Extraction

Diyi Yang, Alon Lavie, C. Dyer, Eduard Hovy - 2015

1 paper in library cites

Google Scholar

[334]Hurtful Words: Quantifying Biases in Clinical Contextual Word Embeddings

Haowei Zhang, A. X. Lu, M. Abdalla, M. Mcdermott, M. Ghassemi - 2020

1 paper in library cites

Google Scholar

[335]Identifying Sarcasm in Twitter: A Closer Look

R. G. Ibanez, S. Muresan, N. Wacholder - 2011

1 paper in library cites

Google Scholar

[336]Implicature

W. Davis - 2019

1 paper in library cites

Google Scholar

[337]In Defense of a Dogma

H. P. Grice, P. F. Strawson - 1956

1 paper in library cites

Google Scholar

[338]Inclusive Data Visualization for People With Disabilities: A Call to Action

K. Marriott, B. Lee, M. Butler, E. Cutrell, K. Ellis, C. Goncu, M. Hearst, K. Mccoy, D. A. Szafir - 2021

1 paper in library cites

Google Scholar

[339]Incorporating Latent Meanings of Morphological Compositions to Enhance Word Embeddings

Yiheng Xu, Joseph Liu, W. Yang, L. Huang - 2018

1 paper in library cites

Google Scholar

[340]Indic-Transformers: An Analysis of Transformer Language Models for Indian Languages

K. Jain, A. Deshpande, Kumar Shridhar, F. Laumann, A. Dash - 2020

1 paper in library cites

Google Scholar

[341]Inductive Programming Meets the Real World

S. Gulwani, Jose Hernandez Orallo, E. Kitzelmann, S. H. Muggleton, U. Schmid, B. Zorn - 2015

1 paper in library cites

Google Scholar

[342]Inference Making Ability and Its Relation to Comprehension Failure

K. Cain, J. V. Oakhill - 1999

1 paper in library cites

Google Scholar

[343]Inferring Interpersonal Relations in Narrative Summaries

Shashank Srivastava, S. Chaturvedi, T. Mitchell - 2016

1 paper in library cites

Google Scholar

[344]Intentional Action and Side Effects in Ordinary Language

J. Knobe - 2003

1 paper in library cites

Google Scholar

[345]Interactive Optimal Teaching With Unknown Learners

F. S. Melo, C. Guerra, M. Lopes - 2018

1 paper in library cites

Google Scholar

[346]Introducing the LCC Metaphor Datasets

M. Mohler, M. Brunson, B. Rink, M. Tomlinson - 2016

1 paper in library cites

Google Scholar

[347]Introduction to Logic

I. M. Copi, C. Cohen, V. Rodych - 2018

1 paper in library cites

Google Scholar

[348]Introduction to Paremiology: A Comprehensive Guide to Proverb Studies

H. H. Gotthardt, M. A. Varga - 2015

1 paper in library cites

Google Scholar

[349]Irony Detection via Sentiment-Based Transfer Learning

S. Zhang, X. Zhang, J. Chan, P. Rosso - 2019

1 paper in library cites

Google Scholar

[350]iSarcasm: A Dataset of Intended Sarcasm

S. Oprea, W. Magdy - 2020

1 paper in library cites

Google Scholar

[351]It's All in the Name: Mitigating Gender Bias With Name-Based Counterfactual Data Substitution

R. H. Maudslay, H. Gonen, R. Cotterell, S. Teufel - 2019

1 paper in library cites

Google Scholar

[352]It's Going to Be Okay: Measuring Access to Support in Online Communities

Zhengtao Wang, David Jurgens - 2018

1 paper in library cites

Google Scholar

[353]ITEM2VEC: Neural Item Embedding for Collaborative Filtering

O. Barkan, N. Koenigstein - 2016

1 paper in library cites

Google Scholar

[354]Joking Riddles: A Developmental Index of Children's Humor

N. M. Prentice, R. E. Fathman - 1975

1 paper in library cites

Google Scholar

[355]Killing, Letting Die, and the Trolley Problem

J. J. Thomson - 1976

1 paper in library cites

Google Scholar

[356]Knowledge Derived From Wikipedia for Computing Semantic Relatedness

S. P. Ponzetto, Michael Strube - 2007

1 paper in library cites

Google Scholar

[357]Labeling Documents With Timestamps: Learning From Their Time Expressions

N. Chambers - 2012

1 paper in library cites

Google Scholar

[358]Language Models as Few-Shot Learner for Task-Oriented Dialogue Systems

Andrea Madotto, Ze Liu, Zongyu Lin, Pascale Fung - 2020

1 paper in library cites

Google Scholar

[359]Language Tasks and Language Games: On Methodology in Current Natural Language Processing Research

D. Schlangen - 2019

1 paper in library cites

Google Scholar

[360]Large Dataset and Language Model Fun-Tuning for Humor Recognition

V. Blinov, V. B. Baranova, P. Braslavski - 2019

1 paper in library cites

Google Scholar

[361]Learning Algorithms via Neural Logic Networks

A. Payani, F. Fekri - 2019

1 paper in library cites

Google Scholar

[362]Learning Chess Blindfolded: Evaluating Language Models on State Tracking

Shubham Toshniwal, Sam Wiseman, Karen Livescu, Kevin Gimpel - 2021

1 paper in library cites

Google Scholar

[363]Learning Continuous Semantic Representations of Symbolic Expressions

M. Allamanis, P. Chanthirasegaran, P. Kohli, Charles Sutton - 2016

1 paper in library cites

Google Scholar

[364]Learning Convex Optimization Models

A. Agrawal, S. Barratt, S. Boyd - 2020

1 paper in library cites

Google Scholar

[365]Learning Data Transformation Rules Through Examples: Preliminary Results

Bo Wu, P. Szekely, C. A. Knoblock - 2012

1 paper in library cites

Google Scholar

[366]Learning Higher-Order Logic Programs

A. Cropper, R. Morel, S. Muggleton - 2020

1 paper in library cites

Google Scholar

[367]Learning the Difference That Makes a Difference With Counterfactually-Augmented Data

D. Kaushik, Eduard Hovy, Zachary C. Lipton - 2019

1 paper in library cites

Google Scholar

[368]Learning the Dyck Language With Attention-Based Seq2Seq Models

X. Yu, N. T. Vu, J. Kuhn - 2019

1 paper in library cites

Google Scholar

[369]Learning to Ask Unanswerable Questions for Machine Reading Comprehension

H. Zhu, L. Dong, F. Wei, Wenyi Wang, B. Qin, T. Liu - 2019

1 paper in library cites

Google Scholar

[370]Learning to Count Objects in Natural Images for Visual Question Answering

Y. Z. Zhang, J. Hare, A. P. Bennett - 2018

1 paper in library cites

Google Scholar

[371]Learning to Count Objects With Few Exemplar Annotations

J. Wang, R. Xiao, Y. Guo, Li Zhang - 2019

1 paper in library cites

Google Scholar

[372]Learning to Execute Instructions in a Minecraft Dialogue

P. Jayannavar, A. N. Chen, J. Hockenmaier - 2020

1 paper in library cites

Google Scholar

[373]Learning to Interpret Natural Language Commands Through Human-Robot Dialog

J. Thomason, S. Zhang, R. Mooney, P. Stone - 2015

1 paper in library cites

Google Scholar

[374]Learning to Prove Theorems via Interacting With Proof Assistants

K. Yang, J. Deng - 2019

1 paper in library cites

Google Scholar

[375]Learning to Recommend Quotes for Writing

J. Tan, X. Wan, Jianxiong Xiao - 2015

1 paper in library cites

Google Scholar

[376]Learning What Makes a Difference From Counterfactual Examples and Gradient Supervision

D. Teney, E. Abbasnedjad, A. V. D. Hengel - 2020

1 paper in library cites

Google Scholar

[377]Leveraging Passage Retrieval With Generative Models for Open Domain Question Answering

G. Izacard, E. Grave - 2020

1 paper in library cites

Google Scholar

[378]Lexical Cohesion Computed by Thesaural Relations as an Indicator of the Structure of Text

J. Morris, G. Hirst - 1991

1 paper in library cites

Google Scholar

[379]Lexical Semantic Relatedness With Random Graph Walks

T. Hughes, D. Ramage - 2007

1 paper in library cites

Google Scholar

[380]Low-Resource Languages: A Review of Past Work and Future Challenges

A. Magueresse, V. Carles, E. Heetderks - 2020

1 paper in library cites

Google Scholar

[381]LSTM Networks Can Perform Dynamic Counting

Mirac Suzgun, Yonatan Belinkov, S. Shieber, Sebastian Gehrmann - 2019

1 paper in library cites

Google Scholar

[382]Machine Teaching: An Inverse Problem to Machine Learning and an Approach Toward Optimal Education

X. Zhu - 2015

1 paper in library cites

Google Scholar

[383]Machine Translation of Klingon

T. Canfield - 2010

1 paper in library cites

Google Scholar

[384]Main Trends in Recent Philosophy: Two Dogmas of Empiricism

W. V. O. Quine - 1951

1 paper in library cites

Google Scholar

[385]Making Computers Laugh: Investigations in Automatic Humor Recognition

R. Mihalcea, C. Strapparava - 2005

1 paper in library cites

Google Scholar

[386]Masked Language Model Scoring

J. Salazar, D. Liang, T. Q. Nguyen, K. Kirchhoff - 2020

1 paper in library cites

Google Scholar

[387]Med-Bert: Pretrained Contextualized Embeddings on Large-Scale Structured Electronic Health Records for Disease Prediction

L. Rasmy, Y. Xiang, Z. Xie, C. Tao, D. Zhi - 2021

1 paper in library cites

Google Scholar

[388]Memory-Augmented Recurrent Neural Networks Can Learn Generalized Dyck Languages

Mirac Suzgun, Sebastian Gehrmann, Yonatan Belinkov, Stuart M. Shieber - 2019

1 paper in library cites

Google Scholar

[389]Meta-Interpretive Learning of Data Transformation Programs

A. Cropper, A. T. Nezhad, S. H. Muggleton - 2016

1 paper in library cites

Google Scholar

[390]Metagol System

A. Cropper, S. H. Muggleton - 2016

1 paper in library cites

Google Scholar

[391]Metaphor corpus Annotated for Source-Target Domain Mappings

Ekaterina Shutova, S. Teufel - 2010

1 paper in library cites

Google Scholar

[392]Metaphor Detection With Cross-Lingual Model Transfer

Y. Tsvetkov, L. Boytsov, A. Gershman, E. Nyberg, C. Dyer - 2014

1 paper in library cites

Google Scholar

[393]Metaphor Paraphrasing and Word Sense Disambiguation: Toward a New Approach to Automated Metaphor

Xiaoyu Tong - 2021

1 paper in library cites

Google Scholar

[394]Metaphoric Paraphrase Generation

K. Stowe, L. Ribeiro, I. Gurevych - 2020

1 paper in library cites

Google Scholar

[395]Mining Discourse Markers for Unsupervised Sentence Representation Learning

Damien Sileo, T. V. D. Cruys, C. Pradel, P. Muller - 2019

1 paper in library cites

Google Scholar

[396]More Data Can Hurt for Linear Regression: Sample-Wise Double Descent

P. Nakkiran - 2019

1 paper in library cites

Google Scholar

[397]More Is Different

P. W. Anderson - 1972

1 paper in library cites

Google Scholar

[398]Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms

K. Zhang, Zhilin Yang, T. Basar - 2019

1 paper in library cites

Google Scholar

[399]MultiEmo: Multilingual, Multilevel, Multidomain Sentiment Analysis Corpus of Consumer Reviews

Jan Kocon, Piotr Milkowski, Kamil Kanclerz - 2021

1 paper in library cites

Google Scholar

[400]Multimodal Datasets: Misogyny, Pornography, and Malignant Stereotypes

A. Birhane, Vinay Uday Prabhu, E. Kahembwe - 2021

1 paper in library cites

Google Scholar

[401]National Name Statistical Analysis

R. O. C. M. O. T. Interior - 2018

1 paper in library cites

Google Scholar

[402]Natural Reference to Objects in a Visual Domain

M. Mitchell, K. V. Deemter, E. Reiter - 2010

1 paper in library cites

Google Scholar

[403]Negated and Misprimed Probes for Pretrained Language Models: Birds Can Talk, but Cannot Fly

N. Kassner, Hinrich Schutze - 2019

1 paper in library cites

Google Scholar

[404]Neural Joke Generation

H. Ren, Qiang Yang - 2017

1 paper in library cites

Google Scholar

[405]Neural Language Models Are Effective Plagiarists

Stella Biderman, E. Raff - 2022

1 paper in library cites

Google Scholar

[406]Neural Logic Reasoning

Sherry Shi, H. Chen, W. Ma, J. Mao, Mingchuan Zhang, Y. Z. Zhang - 2020

1 paper in library cites

Google Scholar

[407]Neural Networks a Model of Boolean Functions

B. Steinbach, R. Kohut - 2002

1 paper in library cites

Google Scholar

[408]Neural Path Planning: Fixed Time, Near-Optimal Path Generation via Oracle imitation

M. J. Bency, A. H. Qureshi, M. C. Yip - 2019

1 paper in library cites

Google Scholar

[409]Neural-Symbolic Learning and Reasoning: A Survey and Interpretation

T. R. Besold, A. D. Garcez, S. Bader, H. Bowman, P. Domingos, P. Hitzler, K. U. Kuehnberger, L. C. Lamb, D. Lowd, P. M. V. Lima, L. D. Penning, G. Pinkas, H. Poon, G. Zaverucha - 2017

1 paper in library cites

Google Scholar

[410]Non-Linear Mapping for Improved Identification of 1300+ Languages

R. Brown - 2014

1 paper in library cites

Google Scholar

[411]Number-Space Mapping in the Newborn Chick Resembles Humans' Mental Number Line

R. Rugani, G. Vallortigara, K. Priftis, L. Regolin - 2015

1 paper in library cites

Google Scholar

[412]Obtaining Well Calibrated Probabilities Using Bayesian Binning

M. P. Naeini, G. Cooper, M. Hauskrecht - 2015

1 paper in library cites

Google Scholar

[413]Omiotis: A Thesaurus-Based Measure of Text Relatedness

G. Tsatsaronis, I. Varlamis, M. Vazirgiannis, K. Norvag - 2009

1 paper in library cites

Google Scholar

[414]On a Family of Turing Machines and the Related Programming Language

C. Bohm - 1964

1 paper in library cites

Google Scholar

[415]On Hallucination and Predictive Uncertainty in Conditional Language Generation

Y. Xiao, W. Y. Wang - 2021

1 paper in library cites

Google Scholar

[416]On Measuring and Mitigating Biased Inferences of Word Embeddings

S. Dev, Tao Li, J. M. Phillips, Vivek Srikumar - 2020

1 paper in library cites

Google Scholar

[417]On Measuring Gender Bias in Translation of Gender-Neutral Pronouns

W. I. Cho, J. W. Kim, S. M. Kim, N. S. Kim - 2019

1 paper in library cites

Google Scholar

[418]On the Ability and Limitations of Transformers to Recognize Formal Languages

S. Bhattamishra, K. Ahuja, N. Goyal - 2020

1 paper in library cites

Google Scholar

[419]On the Cross-Lingual Transferability of Monolingual Representations

M. Artetxe, Sebastian Ruder, D. Yogatama - 2020

1 paper in library cites

Google Scholar

[420]On the Linguistic Capacity of Real-Time Counter Automata

W. Merrill - 2020

1 paper in library cites

Google Scholar

[421]On the Practical Ability of Recurrent Neural Networks to Recognize Hierarchical Languages

S. Bhattamishra, K. Ahuja, N. Goyal - 2020

1 paper in library cites

Google Scholar

[422]On the Projection Problem for Presuppositions

I. Heim - 1983

1 paper in library cites

Google Scholar

[423]OpenAI API Alchemy: Emoji Storytelling

A. Mayne - 2020

1 paper in library cites

Google Scholar

[424]OpenRefine

D. Huynh, S. Mazzocchi - 2012

1 paper in library cites

Google Scholar

[425]Optimizing Sentence Modeling and Selection for Document Summarization

W. Yin, Y. Pei - 2015

1 paper in library cites

Google Scholar

[426]Optnet: Differentiable Optimization as a Layer in Neural Networks

B. Amos, J. Zico Kolter - 2017

1 paper in library cites

Google Scholar

[427]Out of Order: How Important Is the Sequential Order of Words in a Sentence in Natural Language Understanding Tasks?

T. M. Pham, T. Bui, L. Mai, Anh Nguyen - 2020

1 paper in library cites

Google Scholar

[428]ParsiNLU: A Suite of Language Understanding Challenges for Persian

Daniel Khashabi, A. Cohan, Siamak Shakeri, P. Hosseini, Pouya Pezeshkpour, M. Alikhani, Moin Aminnaseri, M. Bitaab, F. Brahman, Sarik Ghazarian, Mozhdeh Gheini, A. Kabiri, R. K. Mahabadi, O. Memarrast, A. Mosallanezhad, E. Noury, S. Raji, M. S. Rasooli, Sepideh Sadeghi, E. S. Azer, N. S. Samghabadi, M. Shafaei, S. Sheybani, Ali Tazarv, Yadollah Yaghoobzadeh - 2020

1 paper in library cites

Google Scholar

[429]Patching Gender: Non-Binary Utopias in HCI

K. Spiel, O. Keyes, P. Barlas - 2019

1 paper in library cites

Google Scholar

[430]Philosophical Investigations

L. Wittgenstein - 1953

1 paper in library cites

Google Scholar

[431]Phraseologie des schwedischen

C. P. Meister - 2007

1 paper in library cites

Google Scholar

[432]Playing Text-Based Games With Common Sense

S. Dambekodi, S. Frazier, P. Ammanabrolu, M. O. Riedl - 2020

1 paper in library cites

Google Scholar

[433]Policy-Driven Neural Response Generation for Knowledge-Grounded Dialog Systems

Behnam Hedayatnia, Karthik Gopalakrishnan, S. Kim, Yibo Liu, M. Eric, D. H. Tur - 2020

1 paper in library cites

Google Scholar

[434]Posterior Calibration and Exploratory Analysis for Natural Language Processing Models

K. Nguyen, B. O'connor - 2015

1 paper in library cites

Google Scholar

[435]Pragmatic Language Interpretation as Probabilistic Inference

N. D. Goodman, M. C. Frank - 2016

1 paper in library cites

Google Scholar

[436]Pragmatics, Modularity and Mind-Reading

D. Sperber, D. Wilson - 2002

1 paper in library cites

Google Scholar

[437]Predicting a Correct Program in Programming by Example

R. Singh, S. Gulwani - 2015

1 paper in library cites

Google Scholar

[438]Predicting Human Metaphor Paraphrase Judgments With Deep Neural Networks

Y. Bizzoni, S. Lappin - 2018

1 paper in library cites

Google Scholar

[439]Prerequisite Skills for Reading Comprehension: Multi-Perspective Analysis of McTest Datasets and Systems

S. Sugawara, H. Yokono, A. Aizawa - 2017

1 paper in library cites

Google Scholar

[440]Program Synthesis From Polymorphic Refinement Types

N. Polikarpova, I. Kuraj, A. S. Lezama - 2016

1 paper in library cites

Google Scholar

[441]Programming With a Differentiable Forth Interpreter

M. Bosnjak, Tim Rocktaschel, J. Naradowsky, Sebastian Riedel - 2017

1 paper in library cites

Google Scholar

[442]Progress Report on Program-Understanding Systems

C. C. Green, R. J. Waldinger, D. R. Barstow, R. Elschlager, D. B. Lenat, B. P. Mccune, D. E. Shaw, L. I. Steinberg - 1974

1 paper in library cites

Google Scholar

[443]Proverb Comprehension as a Function of Reading Proficiency in Preadolescents

M. Nippold, M. Allen, D. Kirsch - 2001

1 paper in library cites

Google Scholar

[444]PuzzLing Machines: A Challenge on Learning From Small Data

G. G. Sahin, Y. Kementchedjhieva, P. Rust, I. Gurevych - 2020

1 paper in library cites

Google Scholar

[445]Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets

J. Kreutzer, I. Caswell, Lisa Wang, A. Wahab, D. V. Esch, N. U. Orshikh, A. Tapo, Nishant Subramani, A. Sokolov, C. Sikasote, M. Setyawan, S. Sarin, S. Samb, B. Sagot, C. Rivera, A. Rios, I. Papadimitriou, Salomey Osei, P. O. Suarez, I. Orife, K. Ogueji, A. N. Rubungo, T. Q. Nguyen, M. Muller, A. Muller, S. H. Muhammad, N. Muhammad, A. Mnyakeni, J. Mirzakhalov, T. Matangira, C. Leong, N. Lawson, S. Kudugunta, Yacine Jernite, M. Jenny, O. Firat, B. F. P. Dossou, S. Dlamini, N. D. Silva, S. C. Balli, Stella Biderman, A. Battisti, A. Baruwa, A. Bapna, P. Baljekar, I. A. Azime, A. Awokoya, D. Ataman, O. Ahia, O. Ahia, S. Agrawal, M. Adeyemi - 2022

1 paper in library cites

Google Scholar

[446]Ravens Attribute Visual Access to Unseen Competitors

T. Bugnyar, S. A. Reber, C. Buckner - 2016

1 paper in library cites

Google Scholar

[447]Real or Fake? Learning to Discriminate Machine From Human Generated Text

A. Bakhtin, S. Gross, M. Ott, Y. Deng, Marc'aurelio Ranzato, A. Szlam - 2019

1 paper in library cites

Google Scholar

[448]Reasoning About Goals, Steps, and Temporal Ordering With WikiHow

Li Zhang, Qing Lyu, Chris Callison Burch - 2020

1 paper in library cites

Google Scholar

[449]Recent Advances in Neural Metaphor Processing: A Linguistic, Cognitive and Social Perspective

Xiaoyu Tong, Ekaterina Shutova, Martha Lewis - 2021

1 paper in library cites

Google Scholar

[450]Recipe1M+: A Dataset for Learning Cross-Modal Embeddings for Cooking Recipes and Food Images

J. Marin, A. Biswas, F. Ofli, N. Hynes, A. Salvador, Y. Aytar, I. Weber, Antonio Torralba - 2021

1 paper in library cites

Google Scholar

[451]ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning

W. Yu, Zhejun Jiang, Y. Dong, J. Feng - 2020

1 paper in library cites

Google Scholar

[452]Recurrent Neural Networks in Linguistic Theory: Revisiting Pinker and Prince (1988) and the Past Tense Debate

C. Kirov, R. Cotterell - 2018

1 paper in library cites

Google Scholar

[453]Representing Numbers in NLP: A Survey and a Vision

A. Thawani, J. Pujara, F. Ilievski, P. Szekely - 2021

1 paper in library cites

Google Scholar

[454]Research Community Dynamics Behind Popular AI Benchmarks

Fernando Martinez Plumed, P. Barredo, S. O. Heigeartaigh, Jose Hernandez Orallo - 2021

1 paper in library cites

Google Scholar

[455]Revisions That Improve Cohesion in Multi-Document Summaries: A Preliminary Study

J. C. Otterbacher, D. R. Radev, A. Luo - 2002

1 paper in library cites

Google Scholar

[456]Revisiting the Strange Stories: Revealing Mentalizing Impairments in Autism

S. White, E. Hill, Francesca Happe, U. Frith - 2009

1 paper in library cites

Google Scholar

[457]RNNs Can Generate Bounded Hierarchical Languages With Optimal Memory

J. Hewitt, M. Hahn, Surya Ganguli, Percy Liang, Christopher D. Manning - 2020

1 paper in library cites

Google Scholar

[458]Robust Encodings: A Framework for Combating Adversarial Typos

E. Jones, R. Jia, A. Raghunathan, Percy Liang - 2020

1 paper in library cites

Google Scholar

[459]Roget's Thesaurus as a Lexical Resource for Natural Language Processing

M. Jarmasz - 2012

1 paper in library cites

Google Scholar

[460]Rogue-Gym: A New Challenge for Generalization in Reinforcement Learning

Y. Kanagawa, T. Kaneko - 2019

1 paper in library cites

Google Scholar

[461]Rosetta Stone Linguistic Problems

B. Bozhanov, I. Derzhanski - 2013

1 paper in library cites

Google Scholar

[462]Russian Proverbs and Sayings and Their English Equivalents

Y. V. Bodrova - 2007

1 paper in library cites

Google Scholar

[463]Sarcasm Detection Using Context Separators in Online Discourse

K. Pant, T. Dadu - 2020

1 paper in library cites

Google Scholar

[464]SATNet: Bridging Deep Learning and Logical Reasoning Using a Differentiable Satisfiability Solver

P. W. Wang, P. L. Donti, B. Wilder, Z. Kolter - 2019

1 paper in library cites

Google Scholar

[465]Self Recognition in a Jumping Spider: Portia Labiata Females Discriminate Between Their Own Draglines and Those of Conspecifics

R. J. Clark, R. R. Jackson - 1994

1 paper in library cites

Google Scholar

[466]Self-Aware Computing Systems

S. Kounev, J. O. Kephart, A. Milenkoski, X. Zhu - 2017

1 paper in library cites

Google Scholar

J. J. Jiang, D. W. Conrath - 1997

1 paper in library cites

Google Scholar

P. Resnik - 1999

1 paper in library cites

Google Scholar

[469]SemEval 2015, Task 7: Diachronic Text Evaluation

O. Popescu, C. Strapparava - 2015

1 paper in library cites

Google Scholar

[470]SemEval-2017 Task 7: Detection and Interpretation of English Puns

T. Miller, C. Hempelmann, I. Gurevych - 2017

1 paper in library cites

Google Scholar

[471]Sentence-Bert: Sentence Embeddings Using Siamese BERT-networks

N. Reimers, I. Gurevych - 2019

1 paper in library cites

Google Scholar

[472]Simple and Phrasal Implicatives

L. Karttunen - 2012

1 paper in library cites

Google Scholar

[473]Simplicity: A Unifying Principle in Cognitive Science?

N. Chater, P. Vitanyi - 2003

1 paper in library cites

Google Scholar

[474]Smelling Themselves: Dogs Investigate Their Own Odours Longer When Modified in an "Olfactory Mirror" Test

A. Horowitz - 2017

1 paper in library cites

Google Scholar

[475]Snips Voice Platform: An Embedded Spoken Language Understanding System for Private-by-Design Voice Interfaces

A. Coucke, A. Saade, A. Ball, T. Bluche, A. Caulier, D. Leroy, C. Doumouro, T. Gisselbrecht, F. Caltagirone, T. Lavril, M. Primet, J. Dureau - 2018

1 paper in library cites

Google Scholar

[476]Some Additional Experiments Extending the Tech Report "Assessing BERT's Syntactic Abilities" by Yoav Goldberg

Thomas Wolf - 2019

1 paper in library cites

Google Scholar

[477]SParC: Cross-Domain Semantic Parsing in Context

Tao Yu, Robert Zhang, Michihiro Yasunaga, Y. C. Tan, X. V. Lin, Shanda Li, H. Er, I. Li, Bo Pang, T. Chen, E. Ji, S. Dixit, D. Proctor, S. Shim, J. Kraft, V. Zhang, Caiming Xiong, Richard Socher, D. R. Radev - 2019

1 paper in library cites

Google Scholar

[478]Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task

Tao Yu, Robert Zhang, K. Yang, Michihiro Yasunaga, D. Wang, Zhiyuan Li, J. Ma, I. Li, Q. Yao, S. Roman, Zhengyou Zhang, D. R. Radev - 2018

1 paper in library cites

Google Scholar

[479]Sprichwörter Und zweisprachige lexikographie: Deutsch-Schwedische Und Deutsch-Finnische Wörtebücher Im Vergleich

J. Korhonen - 2009

1 paper in library cites

Google Scholar

[480]SPRINGS: Prediction of Protein-Protein Interaction Sites Using Artificial Neural Networks

G. Singh, K. Dhole, P. P. Pai, S. Mondal - 2014

1 paper in library cites

Google Scholar

[481]Standard Occupational Classification of the People's Republic of China

T. W. C. O. T. R. O. T. N. S. O. Classification - 2015

1 paper in library cites

Google Scholar

[482]Stochastic Optimization of Sorting Networks via Continuous Relaxations

A. Grover, E. Wang, A. Zweig, Stefano Ermon - 2019

1 paper in library cites

Google Scholar

[483]Structural Equation Methods in the Social Sciences

A. S. Goldberger - 1972

1 paper in library cites

Google Scholar

[484]Structural Language Models of Code

U. Alon, R. Sadaka, Omer Levy, E. Yahav - 2020

1 paper in library cites

Google Scholar

[485]Structure Here, Bias There: Hierarchical Generalization by Jointly Learning Syntactic Transformations

K. Mulligan, Robert Frank, Tal Linzen - 2021

1 paper in library cites

Google Scholar

[486]Studying Cultural Differences in Emoji Usage Across the East and the West

S. C. Guntuku, M. Li, L. Tay, L. H. Ungar - 2019

1 paper in library cites

Google Scholar

[487]Suicide Risk Assessment With Multi-Level Dual-Context Language and BERT

M. Matero, A. Idnani, Y. Son, S. Giorgi, H. Vu, M. Zamani, P. Limbachiya, S. C. Guntuku, H. A. Schwartz - 2019

1 paper in library cites

Google Scholar

[488]Survey on Collaborative Filtering, Content-Based Filtering and Hybrid Recommendation System

P. B. Thorat, R. M. Goudar, S. Barve - 2015

1 paper in library cites

Google Scholar

[489]Symbolic Behaviour in Artificial Intelligence

Adam Santoro, Andrew Lampinen, Kory Mathewson, T. Lillicrap, D. Raposo - 2021

1 paper in library cites

Google Scholar

[490]TalkDown: A Corpus for Condescension Detection in Context

Zhengtao Wang, Christopher Potts - 2019

1 paper in library cites

Google Scholar

[491]TaPas: Weakly Supervised Table Parsing via Pre-Training

J. Herzig, P. K. Nowak, T. Muller, F. Piccinno, J. Eisenschlos - 2020

1 paper in library cites

Google Scholar

[492]Teaching Classification Boundaries to Humans

S. Basu, J. Christensen - 2013

1 paper in library cites

Google Scholar

[493]Template Guided Text Generation for Task-Oriented Dialogue

Mihir Kale, Abhinav Rastogi - 2020

1 paper in library cites

Google Scholar

[494]Temporal Information Extraction for Question Answering Using Syntactic Dependencies in an LSTM-based Architecture

Y. Meng, A. Rumshisky, A. Romanov - 2017

1 paper in library cites

Google Scholar

[495]Temporal Reasoning in Natural Language Inference

S. Vashishtha, A. Poliak, Y. K. Lal, B. V. Durme, A. S. White - 2020

1 paper in library cites

Google Scholar

[496]Temporal Reasoning in Natural Language Processing: A Survey

S. K. Sanampudi, G. V. Kumari - 2010

1 paper in library cites

Google Scholar

G. Tsatsaronis, I. Varlamis, M. Vazirgiannis - 2010

1 paper in library cites

Google Scholar

[498]The aha! Moment: The Cognitive Neuroscience of Insight

J. Kounios, M. Beeman - 2009

1 paper in library cites

Google Scholar

[499]The Algebraic Theory of Context-Free Languages

N. Chomsky, M. P. Schutzenberger - 1959

1 paper in library cites

Google Scholar

[500]The Argument Reasoning Comprehension Task: Identification and Reconstruction of Implicit Warrants

I. Habernal, H. Wachsmuth, I. Gurevych, Benno Stein - 2018

1 paper in library cites

Google Scholar

[501]The Causal-Neural Connection: Expressiveness, Learnability, and Inference

K. Xia, K. Z. Lee, Yoshua Bengio, E. Bareinboim - 2021

1 paper in library cites

Google Scholar

[502]The Chess Transformer: Mastering Play Using Generative Language Models

D. Noever, M. Ciolino, J. Kalin - 2020

1 paper in library cites

Google Scholar

[503]The Child as Hacker

Joshua S. Rule, Joshua B. Tenenbaum, Steven T. Piantadosi - 2020

1 paper in library cites

Google Scholar

[504]The Child as Hacker: Building More Human-Like Models of Learning

Joshua S. Rule - 2020

1 paper in library cites

Google Scholar

[505]The Child's Learning of English Morphology

J. Berko - 1958

1 paper in library cites

Google Scholar

[506]The Deep Bootstrap Framework: Good Online Learners Are Good Offline Generalizers

P. Nakkiran, Behnam Neyshabur, H. Sedghi - 2020

1 paper in library cites

Google Scholar

[507]The Gap of Semantic Parsing: A Survey on Automatic Math Word Problem Solvers

Danyang Zhang, Lisa Wang, Li Zhang, B. T. Dai, H. T. Shen - 2020

1 paper in library cites

Google Scholar

[508]The Google Similarity Distance

R. L. Cilibrasi, P. M. B. Vitanyi - 2007

1 paper in library cites

Google Scholar

[509]The Importance of Suppressing Domain Style in Authorship Analysis

Sebastian Bischoff, Niklas Deckers, M. Schliebs, B. Thies, Matthias Hagen, E. Stamatatos, Benno Stein, Martin Potthast - 2020

1 paper in library cites

Google Scholar

[510]The Inference of Regular LISP Programs From Examples

A. W. Biermann - 1978

1 paper in library cites

Google Scholar

[511]The Misgendering Machines: Trans/HCI Implications of Automatic Gender Recognition

O. Keyes - 2018

1 paper in library cites

Google Scholar

[512]The Montreal Cognitive Assessment, MOCA: A Brief Screening Tool for Mild Cognitive Impairment

Z. S. Nasreddine, N. A. Phillips, V. Bedirian, S. Charbonneau, V. Whitehead, I. Collin, J. L. Cummings, H. Chertkow - 2005

1 paper in library cites

Google Scholar

[513]The MovieLens Datasets: History and Context

F. M. Harper, J. A. Konstan - 2015

1 paper in library cites

Google Scholar

[514]The North American computational linguistics olympiad (NACLO)

D. R. Radev, L. Levin, T. E. Payne - 2008

1 paper in library cites

Google Scholar

[515]The Proverb as a Mitigating and Politeness Strategy in Akan Discourse

S. G. Obeng - 1996

1 paper in library cites

Google Scholar

[516]The Pushshift Reddit Dataset

J. Baumgartner, S. Zannettou, B. Keegan, M. Squire, J. Blackburn - 2020

1 paper in library cites

Google Scholar

[517]The Relationship Between Inference Skills and Reading Comprehension

N. Bayat, G. Cetinkaya - 2020

1 paper in library cites

Google Scholar

[518]The Secrets of Colour Interpolation

A. Zucconi - 2016

1 paper in library cites

Google Scholar

[519]The Specification Language TimeML

J. Pustejovsky, R. Ingria, R. Sauri, J. Castano, J. Littman, R. Gaizauskas, A. Setzer, G. Katz, I. Mani - 2004

1 paper in library cites

Google Scholar

[520]The Synthesis of LISP Programs From Examples: A Survey

D. R. Smith - 1984

1 paper in library cites

Google Scholar

[521]The Teaching Size: Computable Teachers and Learners for Universal Languages

J. A. Telle, Jose Hernandez Orallo, C. Ferri - 2019

1 paper in library cites

Google Scholar

[522]The Things That We Have to Do": Ethics and Instrumentality in Humanitarian Communication

D. Nolan, A. Mikami - 2013

1 paper in library cites

Google Scholar

[523]The Unreasonable Effectiveness of Recurrent Neural Networks

A. Karpathy - 2015

1 paper in library cites

Google Scholar

[524]The Use of Spatial Relations in Referring Expression Generation

J. Viethen, R. Dale - 2008

1 paper in library cites

Google Scholar

[525]The Weirdest People in the World? Behavioral and Brain Sciences

J. Henrich, S. J. Heine, A. Norenzayan - 2010

1 paper in library cites

Google Scholar

[526]The WMT'18 Morpheval Test Suites for English-Czech, English-German, English-Finnish and Turkish-English

F. Burlot, Y. Scherrer, V. Ravishankar, O. Bojar, S. A. Gronroos, M. Koponen, T. Nieminen, F. Yvon - 2018

1 paper in library cites

Google Scholar

[527]Theoretical Limitations of Self-Attention in Neural Sequence Models

M. Hahn - 2020

1 paper in library cites

Google Scholar

[528]They Never Said It: A Book of Fake Quotes, Misquotes, and Misleading Attributions

P. F. B. Jr, J. George - 1989

1 paper in library cites

Google Scholar

[529]TIMEDIAL: Temporal Commonsense Reasoning in Dialog

Lianhui Qin, Aman Gupta, Shyam Upadhyay, Luheng He, Yejin Choi, Manaal Faruqui - 2021

1 paper in library cites

Google Scholar

[530]Topical-Chat: Towards Knowledge-Grounded Open-Domain Conversations

Karthik Gopalakrishnan, Behnam Hedayatnia, Qinlang Chen, Anna Gottardi, Sanjeev Kwatra, Anu Venkatesh, Raefer Gabriel, D. H. Tur - 2019

1 paper in library cites

Google Scholar

[531]Toward Automated Quest Generation in Text-Adventure Games

P. Ammanabrolu, W. Broniec, A. Mueller, J. Paul, M. O. Riedl - 2019

1 paper in library cites

Google Scholar

[532]Towards Causal Representation Learning

B. Scholkopf, F. Locatello, S. Bauer, N. R. Ke, N. Kalchbrenner, A. G. A. P. Goyal, Yoshua Bengio - 2021

1 paper in library cites

Google Scholar

[533]Transformers as Soft Reasoners Over Language

Peter Clark, Oyvind Tafjord, Kyle Richardson - 2020

1 paper in library cites

Google Scholar

[534]Transformers Play Chess

R. Chen - 2020

1 paper in library cites

Google Scholar

[535]Transforming Spreadsheet Data Types Using Examples

R. Singh, S. Gulwani - 2016

1 paper in library cites

Google Scholar

[536]Tweet Sarcasm Detection Using Deep Neural Network

Mingchuan Zhang, Y. Z. Zhang, Guohong Fu - 2016

1 paper in library cites

Google Scholar

[537]Type-and-Example-Directed Program Synthesis

P. M. Osera, S. Zdancewic - 2015

1 paper in library cites

Google Scholar

[538]Understanding Factuality in Abstractive Summarization With FRANK: A Benchmark for Factuality Metrics

Artidoro Pagnoni, V. Balachandran, Y. Tsvetkov - 2021

1 paper in library cites

Google Scholar

[539]Using Information Content to Evaluate Semantic Similarity in a Taxonomy

P. Resnik - 1995

1 paper in library cites

Google Scholar

[540]Using Pre-Training Can Improve Model Robustness and Uncertainty

Dan Hendrycks, K. Lee, Mantas Mazeika - 2019

1 paper in library cites

Google Scholar

[541]USR: An Unsupervised and Reference Free Evaluation Metric for Dialog Generation

S. Mehri, M. Eskenazi - 2020

1 paper in library cites

Google Scholar

[542]Vector Forms as a Foreign Language

N. Boillot - 2019

1 paper in library cites

Google Scholar

[543]Verification of Forecasts Expressed in Terms of Probability

G. W. Brier - 1950

1 paper in library cites

Google Scholar

[544]Watching a Language Model Learning Chess

A. Stockl - 2021

1 paper in library cites

Google Scholar

[545]Wechsler Adult Intelligence Scale-Fourth Edition

D. Wechsler - 2008

1 paper in library cites

Google Scholar

[546]What Are the Most Popular Names Chinese Parents Give Their Babies? A Perspective From Big Data

Qimingtong - 2016

1 paper in library cites

Google Scholar

[547]What's in the Box? An Analysis of Undesirable Content in the Common Crawl Corpus

A. Luccioni, J. Viviano - 2021

1 paper in library cites

Google Scholar

[548]When Do You Need Billions of Words of Pretraining Data?

Y. Z. Zhang, Alex Warstadt, H. S. Li, Samuel R. Bowman - 2020

1 paper in library cites

Google Scholar

[549]When in Rome, Do as the Romans Do: Proverbs as a Part of EFL Teaching

M. Hanzen - 2007

1 paper in library cites

Google Scholar

[550]When Redundancy Is Useful: A Bayesian Approach to "Overinformative" Referring Expressions

J. Degen, R. D. Hawkins, C. Graf, E. Kreiss, N. D. Goodman - 2020

1 paper in library cites

Google Scholar

[551]White Chicago Cops Use Force More Often Than Black Officers

J. Daley - 2021

1 paper in library cites

Google Scholar

[552]Who Uses Web Search for What: And How

I. Weber, A. Jaimes - 2011

1 paper in library cites

Google Scholar

[553]Who's to Say What's Funny? A Computer Using Language Models and Deep Learning, That's Who!

X. Yan, T. Pedersen - 2017

1 paper in library cites

Google Scholar

[554]WikiHow: A Large Scale Text Summarization Dataset

M. Koupaee, W. Y. Wang - 2018

1 paper in library cites

Google Scholar

[555]Wikirelate! Computing Semantic Relatedness Using Wikipedia

Michael Strube, S. P. Ponzetto - 2006

1 paper in library cites

Google Scholar

[556]WikiWalk: Random Walks on Wikipedia for Semantic Relatedness

E. Yeh, D. Ramage, Christopher D. Manning, E. Agirre, A. Soroa - 2009

1 paper in library cites

Google Scholar

[557]WinoWhy: A Deep Diagnosis of Essential Commonsense Knowledge for Answering Winograd Schema Challenge

Haowei Zhang, Xuandong Zhao, Yueqi Song - 2020

1 paper in library cites

Google Scholar

[558]Wrangler: Interactive Visual Specification of Data Transformation Scripts

S. Kandel, A. Paepcke, J. Hellerstein, J. Heer - 2011

1 paper in library cites

Google Scholar

[559]XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation

Sebastian Ruder, Noah Constant, J. Botha, A. Siddhant, O. Firat, J. Fu, P. Liu, Jiaxi Hu, Dan Garrette, Graham Neubig, M. J. Johnson - 2021

1 paper in library cites

Google Scholar

[560]You Reap What You Sow: On the Challenges of Bias Evaluation Under Multilingual Settings

Z. Talat, A. Neveol, Stella Biderman, Miruna Clinciu, M. Dey, S. Longpre, S. Luccioni, M. Masoud, M. Mitchell, D. R. Radev, S. S. Sharma, A. Subramonian, J. Tae, Sinan Tan, T. Deepak, O. V. D. Wal - 2022

1 paper in library cites

Google Scholar

[561]Zero-Shot Recommendation as Language Modeling

Damien Sileo, Wout Vossen, Robbe Raymaekers - 2022

1 paper in library cites

Google Scholar