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Deep learning models have achieved remarkable success in natural language inference (NLI) tasks.
Deep inside convolutional networks: Visualising image classification models and saliency maps
Karen Simonyan, Andrea Vedaldi, and Andrew Zisserman. 2013 · 2013
Earlier work this paper cites.
Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2014 · 2014
Earlier work this paper cites.
A large annotated corpus for learning natural language inference
Samuel R. Bowman, Gabor Angeli, Christopher Potts, and Christopher D. Manning. 2015 · 2015
Earlier work this paper cites.
Visualizing and understanding neural models in NLP
Jiwei Li, Xinlei Chen, Eduard H. Hovy, and Dan Jurafsky. 2016 · 2016
Earlier work this paper cites.
A decomposable attention model for natural language inference
Ankur P. Parikh, Oscar Täckström, Dipanjan Das, and Jakob Uszkoreit. 2016 · 2016
Earlier work this paper cites.
Explaining recurrent neural network predictions in sentiment analysis
Leila Arras, Grégoire Montavon, Klaus-Robert Müller, and Wojciech Samek. 2017 · 2017
Earlier work this paper cites.
Enhanced LSTM for natural language inference
Qian Chen, Xiaodan Zhu, Zhen-Hua Ling, Si Wei, Hui Jiang, and Diana Inkpen. 2017 · 2017
Cited alongside, same era.
Gated-attention readers for text comprehension
Bhuwan Dhingra, Hanxiao Liu, Zhilin Yang, William W. Cohen, and Ruslan Salakhutdinov. 2017 · 2017
Cited alongside, same era.
Natural language inference over interaction space
Yichen Gong, Heng Luo, and Jian Zhang. 2017 · 2017
Cited alongside, same era.
Understanding neural networks through representation erasure
Jiwei Li, Will Monroe, and Dan Jurafsky. 2017 · 2017
Cited alongside, same era.
Learned in translation: Contextualized word vectors
Bryan McCann, James Bradbury, Caiming Xiong, and Richard Socher. 2017 · 2017
Cited alongside, same era.
Bilateral multi-perspective matching for natural language sentences
Zhiguo Wang, Wael Hamza, and Radu Florian. 2017 · 2017
Later among the works it cites.
Dr-bilstm: Dependent reading bidirectional LSTM for natural language inference
Reza Ghaeini, Sadid A. Hasan, Vivek V. Datla, Joey Liu, Kathy Lee, Ashequl Qadir, Yuan Ling, Aaditya Prakash, Xiaoli Z. Fern, and Oladimeji Farri. 2018b · 2018
Closest in time.
Deep contextualized word representations
Matthew E. Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer. 2018 · 2018
Closest in time.
Zero-shot sequence labeling: Transferring knowledge from sentences to tokens
Marek Rei and Anders Søgaard. 2018 · 2018
Closest in time.
A compare-propagate architecture with alignment factorization for natural language inference
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Reza Ghaeini, Xiaoli Z. Fern, Hamed Shahbazi, and Prasad Tadepalli. 2018a
Cited in the paper.
Yi Tay, Luu Anh Tuan, and Siu Cheung Hui. 2018 · 2018
Closest in time.