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We introduce a set of nine challenge tasks that test for the understanding of function words.
Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997
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Skip-thought vectors
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. 2016 · 2016
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Natural language inference by tree-based convolution and heuristic matching
Lili Mou, Rui Men, Ge Li, Yan Xu, Lu Zhang, Rui Yan, and Zhi Jin. 2016 · 2016
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Fine-grained analysis of sentence embeddings using auxiliary prediction tasks
Yossi Adi, Einat Kermany, Yonatan Belinkov, Ofer Lavi, and Yoav Goldberg. 2017 · 2017
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Proceedings of the 2nd Workshop on Evaluating Vector Space Representations for NLP
Samuel Bowman, Yoav Goldberg, Felix Hill, Angeliki Lazaridou, Omer Levy, Roi Reichart, and Anders Søgaard, editors. 2017 · 2017
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Supervised learning of universal sentence representations from natural language inference data
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Towards linguistically generalizable NLP systems: A workshop and shared task
Allyson Ettinger, Sudha Rao, Hal Daumé III, and Emily M. Bender. 2017 · 2017
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AllenNLP: A deep semantic natural language processing platform
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Discourse-based objectives for fast unsupervised sentence representation learning
Yacine Jernite, Samuel R. Bowman, and David Sontag. 2017 · 2017
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Breaking NLP: Using morphosyntax, semantics, pragmatics and world knowledge to fool sentiment analysis systems
Taylor Mahler, Willy Cheung, Micha Elsner, David King, Marie-Catherine de Marneffe, Cory Shain, Symon Stevens-Guille, and Michael White. 2017 · 2017
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Learned in translation: Contextualized word vectors
Bryan McCann, James Bradbury, Caiming Xiong, and Richard Socher. 2017 · 2017
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Pointer sentinel mixture models
Stephen Merity, Caiming Xiong, James Bradbury, and Richard Socher. 2017 · 2017
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DisSent: Sentence representation learning from explicit discourse relations
Allen Nie, Erin D. Bennett, and Noah D. Goodman. 2017 · 2017
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Automatic differentiation in pytorch
Adam Paszke, Sam Gross, Soumith Chintala, Gregory Chanan, Edward Yang, Zachary DeVito, Zeming Lin, Alban Desmaison, Luca Antiga, and Adam Lerer. 2017 · 2017
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Proceedings of the First Workshop on Analyzing and Interpreting Neural Networks for NLP (BlackboxNLP)
Tal Linzen, Grzegorz Chrupala, and Afra Alishahi, editors. 2018 · 2018
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The natural language decathlon: Multitask learning as question answering
Bryan McCann, Nitish Shirish Keskar, Caiming Xiong, and Richard Socher. 2018 · 2018
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Stress test evaluation for natural language inference
Aakanksha Naik, Abhilasha Ravichander, Norman Sadeh, Carolyn Rose, and Graham Neubig. 2018 · 2018
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Deep contextualized word representations
Matthew Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer. 2018 · 2018
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On the evaluation of semantic phenomena in neural machine translation using natural language inference
Adam Poliak, Yonatan Belinkov, James Glass, and Benjamin Van Durme. 2018a · 2018
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Ieva Staliūnaite and Ben Bonfil. 2017 · 2017
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Collecting diverse natural language inference problems for sentence representation evaluation
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Semantically equivalent adversarial rules for debugging nlp models
Marco Tulio Ribeiro, Sameer Singh, and Carlos Guestrin. 2018 · 2018
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Linguistic representations in multi-task neural networks for ellipsis resolution
Ola Rønning, Daniel Hardt, and Anders Søgaard. 2018 · 2018
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Comprehensive supersense disambiguation of english prepositions and possessives
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Neural network acceptability judgments
Alex Warstadt, Amanpreet Singh, and Samuel R Bowman. 2018 · 2018
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A broad-coverage challenge corpus for sentence understanding through inference
Adina Williams, Nikita Nangia, and Samuel Bowman. 2018 · 2018
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Xunjie Zhu, Tingfeng Li, and Gerard de Melo. 2018 · 2018
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Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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What do you learn from context? probing for sentence structure in contextualized word representations
Ian Tenney, Patrick Xia, Berlin Chen, Alex Wang, Adam Poliak, R Thomas McCoy, Najoung Kim, Benjamin Van Durme, Sam Bowman, Dipanjan Das, and Ellie Pavlick. 2019 · 2019
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