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Natural language inference (NLI) is a fundamental NLP task, investigating the entailment relationship between two texts.
DREAM: A Challenge Dataset and Models for Dialogue-Based Reading Comprehension
Sun, K.; Yu, D.; Chen, J.; Yu, D.; Choi, Y.; and Cardie, C. 2019 · 1902
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WinoGrande: An Adversarial Winograd Schema Challenge at Scale
Sakaguchi, K.; Bras, R. L.; Bhagavatula, C.; and Choi, Y. 2019 · 1907
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Adversarial NLI: A New Benchmark for Natural Language Understanding
Nie, Y.; Williams, A.; Dinan, E.; Bansal, M.; Weston, J.; and Kiela, D. 2019 · 1910
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Temporal Reasoning in Natural Language Understanding: The Temporal Structure of the Narrative
Nakhimovsky, A. 1987 · 1987
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Contextual Reasoning
Giunchiglia, F. 1992 · 1992
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The PASCAL recognising textual entailment challenge
Dagan, I.; Glickman, O.; and Magnini, B. 2005 · 2005
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The PASCAL Recognising Textual Entailment Challenge
Dagan, I.; Glickman, O.; and Magnini, B. 2006 · 2006
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The Third PASCAL Recognizing Textual Entailment Challenge
Giampiccolo, D.; Magnini, B.; Dagan, I.; and Dolan, B. 2007 · 2007
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A large annotated corpus for learning natural language inference
Bowman, S. R.; Angeli, G.; Potts, C.; and Manning, C. D. 2015 · 2015
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SQuAD: 100,000+ Questions for Machine Comprehension of Text
Rajpurkar, P.; Zhang, J.; Lopyrev, K.; and Liang, P. 2016 · 2016
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RACE: Large-scale ReAding Comprehension Dataset From Examinations
Lai, G.; Xie, Q.; Liu, H.; Yang, Y.; and Hovy, E. 2017 · 2017
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Attention Is All You Need
Vaswani, A.; Shazeer, N.; Parmar, N.; Uszkoreit, J.; Jones, L.; Gomez, A. N.; Kaiser, L.; and Polosukhin, I. 2017 · 2017
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Constructing Datasets for Multi-hop Reading Comprehension Across Documents
Welbl, J.; Stenetorp, P.; and Riedel, S. 2017 · 2017
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Sequential Matching Network: A New Architecture for Multi-turn Response Selection in Retrieval-Based Chatbots
Wu, Y.; Wu, W.; Xing, C.; Zhou, M.; and Li, Z. 2017 · 2017
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Annotation Artifacts in Natural Language Inference Data
Gururangan, S.; Swayamdipta, S.; Levy, O.; Schwartz, R.; Bowman, S. R.; and Smith, N. A. 2018 · 2018
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Know What You Don’t Know: Unanswerable Questions for SQuAD
Rajpurkar, P.; Jia, R.; and Liang, P. 2018 · 2018
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GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Wang, A.; Singh, A.; Michael, J.; Hill, F.; Levy, O.; and Bowman, S. R. 2018 · 2018
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Dialogue Natural Language Inference
Welleck, S.; Weston, J.; Szlam, A.; and Cho, K. 2018 · 2018
Cited alongside, same era.
A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference
Williams, A.; Nangia, N.; and Bowman, S. 2018 · 2018
Cited alongside, same era.
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Liu, Y.; Ott, M.; Goyal, N.; Du, J.; Joshi, M.; Chen, D.; Levy, O.; Lewis, M.; Zettlemoyer, L.; and Stoyanov, V. 2019 · 2019
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Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference
McCoy, T.; Pavlick, E.; and Linzen, T. 2019 · 2019
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Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Raffel, C.; Shazeer, N.; Roberts, A.; Lee, K.; Narang, S.; Matena, M.; Zhou, Y.; Li, W.; and Liu, P. J. 2019 · 2019
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Social IQa: Commonsense Reasoning about Social Interactions
Sap, M.; Rashkin, H.; Chen, D.; Le Bras, R.; and Choi, Y. 2019 · 2019
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CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge
Talmor, A.; Herzig, J.; Lourie, N.; and Berant, J. 2019 · 2019
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HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering
Yang, Z.; Qi, P.; Zhang, S.; Bengio, Y.; Cohen, W.; Salakhutdinov, R.; and Manning, C. D. 2018 · 2018
Cited alongside, same era.
Abductive Commonsense Reasoning
Bhagavatula, C.; Bras, R. L.; Malaviya, C.; Sakaguchi, K.; Holtzman, A.; Rashkin, H.; Downey, D.; tau Yih, S. W.; and Choi, Y. 2019 · 2019
Cited alongside, same era.
Multi-hop Question Answering via Reasoning Chains
Chen, J.; ting Lin, S.; and Durrett, G. 2019 · 2019
Cited alongside, same era.
What Does BERT Look at? An Analysis of BERT’s Attention
Clark, K.; Khandelwal, U.; Levy, O.; and Manning, C. D. 2019 · 2019
Cited alongside, same era.
Transformer-XL: Attentive Language Models beyond a Fixed-Length Context
Dai, Z.; Yang, Z.; Yang, Y.; Carbonell, J.; Le, Q.; and Salakhutdinov, R. 2019 · 2019
Cited alongside, same era.
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Devlin, J.; Chang, M.-W.; Lee, K.; and Toutanova, K. 2019 · 2019
Cited alongside, same era.
Assessing BERT’s Syntactic Abilities
Goldberg, Y. 2019 · 2019
Cited alongside, same era.
Thinking theta and alpha: Mechanisms of intuitive and analytical reasoning
Williams, C. C.; Kappen, M.; Hassall, C. D.; Wright, B.; and Krigolson, O. E. 2019 · 2019
Later among the works it cites.
XLNet: Generalized Autoregressive Pretraining for Language Understanding
Yang, Z.; Dai, Z.; Yang, Y.; Carbonell, J.; Salakhutdinov, R.; and Le, Q. V. 2019 · 2019
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Longformer: The Long-Document Transformer
Beltagy, I.; Peters, M. E.; and Cohan, A. 2020 · 2020
Closest in time.
MuTual: A Dataset for Multi-Turn Dialogue Reasoning
Cui, L.; Wu, Y.; Liu, S.; Zhang, Y.; and Zhou, M. 2020b · 2020
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BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
Lewis, M.; Liu, Y.; Goyal, N.; Ghazvininejad, M.; Mohamed, A.; Levy, O.; Stoyanov, V.; and Zettlemoyer, L. 2020 · 2020
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LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning
Liu, J.; Cui, L.; Liu, H.; Huang, D.; Wang, Y.; and Zhang, Y. 2020 · 2020
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Multi-Step Inference for Reasoning Over Paragraphs
Liu, J.; and Gardner, M. 2020 · 2020
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Coreferential Reasoning Learning for Language Representation
Ye, D.; Lin, Y.; Du, J.; Liu, Z.; Sun, M.; and Liu, Z. 2020 · 2020
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ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning
Yu, W.; Jiang, Z.; Dong, Y.; and Feng, J. 2020 · 2020
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