Learning natural language inference with LSTM

2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2016 - Proceedings of the Conference

Volumn , Issue , 2016, Pages 1442-1451

  Wang, Shuohang ^a   Jiang, Jing ^a  

^a SINGAPORE MANAGEMENT UNIVERSITY   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPUTATIONAL LINGUISTICS; DEEP LEARNING; DEEP NEURAL NETWORKS; NATURAL LANGUAGE PROCESSING SYSTEMS;

ATTENTION MODEL; NATURAL LANGUAGE PROCESSING; NATURAL LANGUAGES; STANFORD; STATE OF THE ART; WORD LEVEL; WORD MATCHING;

LONG SHORT-TERM MEMORY;

EID: 84994156970     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.18653/v1/n16-1170     Document Type: Conference Paper

References (21)

1. Dzmitry Bahdanau, HyungHyun Cho, and Yoshua Bengio. 2015. Neural machine translation by jointly learning to align and translate. In Proceedings of the International Conference on Learning Representations.
2. Samuel R Bowman, Gabor Angeli, Christopher Potts, and Christopher D Manning. 2015. A large annotated corpus for learning natural language inference. In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing.
3. Peter Clark and Phil Harrison. 2009. An inference-based approach to recognizing entailment. In Proceedings of the Text Analysis Conference.
4. Ido Dagan, Oren Glickman, and Bernardo Magnini. 2005. The PASCAL Recognising Textual Entailment Challenge. In Proceedings of the PASCAL Challenges Workshop on Recognizing Textual Entailment.
5. Ido Dagan, Dan Roth, Mark Sammons, and Fabio Massimo Zanzotto. 2013. Recognizing Textual Entailment: Models and Applications. Synthesis Lectures on Human Language Technologies. Morgan & Claypool Publishers.
6. Juri Ganitkevitch, Benjamin Van Durme, and Chris Callison-Burch. 2013. PPDB: The paraphrase database. In Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics.
7. Oren Glickman, Ido Dagan, and Moshe Koppel. 2005. Web based probabilistic textual entailment. In Proceedings of the PASCAL Challenges Workshop on Recognizing Textual Entailment.
8. Alex Graves. 2012. Supervised sequence labelling with recurrent neural networks, volume 385. Springer.
9. Karl Moritz Hermann, Tomas Kocisky, Edward Grefenstette, Lasse Espeholt, Will Kay, Mustafa Suleyman, and Phil Blunsom. 2015. Teaching machines to read and comprehend. In Advances in Neural Information Processing Systems.
10. Sepp Hochreiter and Jürgen Schmidhuber. 1997. Long short-term memory. Neural Computation, 9(8):1735-1780.
11. Diederik Kingma and Jimmy Ba. 2014. Adam: A method for stochastic optimization. Proceedings of the International Conference on Learning Representations.
12. Ryan Kiros, Yukun Zhu, Ruslan R Salakhutdinov, Richard Zemel, Raquel Urtasun, Antonio Torralba, and Sanja Fidler. 2015. Skip-thought vectors. In Advances in Neural Information Processing Systems.
13. Bill MacCartney, Michel Galley, and Christopher D Manning. 2008. A phrase-based alignment model for natural language inference. In Proceedings of the Conference on Empirical Methods in Natural Language Processing.
14. Bill MacCartney. 2009. Natural Language Inference. Ph.D. thesis, Stanford University.
15. Marco Marelli, Stefano Menini, Marco Baroni, Luisa Bentivogli, Raffaella Bernardi, and Roberto Zamparelli. 2014. A SICK cure for the evaluation of compositional distributional semantic models. In Proceedings of the Ninth International Conference on Language Resources and Evaluation.
16. Yashar Mehdad, Alessandro Moschitti1, and Fabio Massiomo Zanzotto. 2009. SemKer: Syntactic/semantic kernels for recognizing textual entailment. In Proceedings of the Text Analysis Conference.
17. Lili Mou, Men Rui, Ge Li, Yan Xu, Lu Zhang, Rui Yan, and Zhi Jin. 2015. Recognizing entailment and contradiction by tree-based convolution. arXiv preprint arXiv:1512.08422.
18. Jeffrey Pennington, Richard Socher, and Christopher D Manning. 2014. Glove: Global vectors for word representation. Proceedings of the Conference on Empirical Methods in Natural Language Processing.
19. Tim Rocktäschel, Edward Grefenstette, Karl Moritz Hermann, Tomáš Kočiskỳ, and Phil Blunsom. 2016. Reasoning about entailment with neural attention. In Proceedings of the International Conference on Learning Representations.
20. Alexander M Rush, Sumit Chopra, and Jason Weston. 2015. A neural attention model for abstractive sentence summarization. Proceedings of the Conference on Empirical Methods in Natural Language Processing.
21. Ivan Vendrov, Ryan Kiros, Sanja Fidler, and Raquel Urtasun. 2015. Order-embeddings of images and language. arXiv preprint arXiv:1511.06361.