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Sentence-level representations are necessary for various NLP tasks.
Rectifier nonlinearities improve neural network acoustic models
Maas, A. L., A. Y. Hannun, and A. Y. Ng 2013 · 2013
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Distributed representations of words and phrases and their compositionality
Mikolov, T., I. Sutskever, K. Chen, G. Corrado, and J. Dean 2013 · 2013
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Glove: Global vectors for word representation
Pennington, J., R. Socher, and C. D. Manning 2014 · 2014
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From image descriptions to visual denotations: New similarity metrics for semantic inference over event descriptions
Young, P., A. Lai, M. Hodosh, and J. Hockenmaier 2014 · 2014
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A large annotated corpus for learning natural language inference
Bowman, S. R., G. Angeli, C. Potts, and C. D. Manning 2015 · 2015
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Adam: A method for stochastic optimization
Kingma, D. P. and J. Ba 2015 · 2015
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Skip-thought vectors
Kiros, R., Y. Zhu, R. Salakhutdinov, R. S. Zemel, R. Urtasun, A. Torralba, and S. Fidler 2015 · 2015
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A fast unified model for parsing and sentence understanding
Bowman, S. R., J. Gauthier, A. Rastogi, R. Gupta, C. D. Manning, and C. Potts 2016 · 2016
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Learning distributed representations of sentences from unlabelled data
Hill, F., K. Cho, and A. Korhonen 2016 · 2016
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Natural language inference by tree-based convolution and heuristic matching
Mou, L., R. Men, G. Li, Y. Xu, L. Zhang, R. Yan, and Z. Jin 2016 · 2016
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A decomposable attention model for natural language inference
Parikh, A. P., O. Täckström, D. Das, and J. Uszkoreit 2016 · 2016
Cited alongside, same era.
Order-embeddings of images and language
Vendrov, I., R. Kiros, S. Fidler, and R. Urtasun 2016 · 2016
Cited alongside, same era.
Refining raw sentence representations for textual entailment recognition via attention
Balazs, J., E. Marrese-Taylor, P. Loyola, and Y. Matsuo 2017 · 2017
Cited alongside, same era.
An overview of natural language inference data collection: The way forward?
Chatzikyriakidis, S., R. Cooper, S. Dobnik, and S. Larsson 2017 · 2017
Cited alongside, same era.
Supervised learning of universal sentence representations from natural language inference data
Conneau, A., D. Kiela, H. Schwenk, L. Barrault, and A. Bordes 2017 · 2017
Cited alongside, same era.
Shortcut-stacked sentence encoders for multi-domain inference
What you can cram into a single vector: Probing sentence embeddings for linguistic properties
Conneau, A., G. Kruszewski, G. Lample, L. Barrault, and M. Baroni 2018 · 2018
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Breaking nli systems with sentences that require simple lexical inferences
Glockner, M., V. Shwartz, and Y. Goldberg 2018 · 2018
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Annotation artifacts in natural language inference data
Gururangan, S., S. Swayamdipta, O. Levy, R. Schwartz, S. Bowman, and N. A. Smith 2018 · 2018
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Scitail: A textual entailment dataset from science question answering
Khot, T., A. Sabharwal, and P. Clark 2018 · 2018
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Hypothesis only baselines in natural language inference
Poliak, A., J. Naradowsky, A. Haldar, R. Rudinger, and B. Van Durme 2018 · 2018
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Compare, compress and propagate: Enhancing neural architectures with alignment factorization for natural language inference
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Nie, Y. and M. Bansal 2017 · 2017
Cited alongside, same era.
Lct-malta’s submission to repeval 2017 shared task
Vu, H. 2017 · 2017
Cited alongside, same era.
Enhancing Sentence Embedding with Generalized Pooling
Chen, Q., Z.-H. Ling, and X. Zhu 2018 · 2018
Cited alongside, same era.
SentEval: An evaluation toolkit for universal sentence representations
Conneau, A. and D. Kiela 2018, May 7–12 · 2018
Cited alongside, same era.
Enhanced lstm for natural language inference
Chen, Q., X. Zhu, Z.-H. Ling, S. Wei, H. Jiang, and D. Inkpen 2017a
Cited in the paper.
Recurrent neural network-based sentence encoder with gated attention for natural language inference
Chen, Q., X. Zhu, Z.-H. Ling, S. Wei, H. Jiang, and D. Inkpen 2017b
Cited in the paper.
Tay, Y., L. A. Tuan, and S. C. Hui 2018 · 2018
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A broad-coverage challenge corpus for sentence understanding through inference
Williams, A., N. Nangia, and S. R. Bowman 2018 · 2018
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Dynamic Self-Attention : Computing Attention over Words Dynamically for Sentence Embedding
Yoon, D., D. Lee, and S. Lee 2018 · 2018
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Testing the generalization power of neural network models across nli benchmarks
Talman, A. and S. Chatzikyriakidis 2019 · 2019
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