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Latent tree learning models learn to parse a sentence without syntactic supervision, and use that parse to build the sentence representation.
An efficient recognition and syntax analysis algorithm for context-free languages
Tadao Kasami. 1965 · 1965
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Recognition and parsing of context-free languages in time n3
Daniel H. Younger. 1967 · 1967
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Programming Languages and Their Compilers: Preliminary Notes
John Cocke. 1969 · 1969
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Simple statistical gradient-following algorithms for connectionist reinforcement learning
Ronald J. Williams. 1992 · 1992
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Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997
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Treebank-3
Mitchell P. Marcus, Beatrice Santorini, Mary Ann Marcinkiewicz, and Ann Taylor. 1999 · 1999
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Semi-supervised recursive autoencoders for predicting sentiment distributions
Richard Socher, Jeffrey Pennington, Eric H. Huang, Andrew Y. Ng, and Christopher D. Manning. 2011 · 2011
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Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba. 2014 · 2014
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A large annotated corpus for learning natural language inference
Samuel R. Bowman, Gabor Angeli, Christopher Potts, and Christopher D. Manning. 2015 · 2015
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Towards neural network-based reasoning
Baolin Peng, Zhengdong Lu, Hang Li, and Kam-Fai Wong. 2015 · 2015
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Sainbayar Sukhbaatar, Arthur Szlam, Jason Weston, and Rob Fergus. 2015 · 2015
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Improved semantic representations from tree-structured long short-term memory networks
Kai Sheng Tai, Richard Socher, and Christopher D. Manning. 2015 · 2015
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Categorical reparameterization with gumbel-softmax
Eric Jang, Shixiang Gu, and Ben Poole. 2016 · 2016
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Ask me anything: Dynamic memory networks for natural language processing
Ankit Kumar, Ozan Irsoy, Peter Ondruska, Mohit Iyyer, James Bradbury, Ishaan Gulrajani, Victor Zhong, Romain Paulus, and Richard Socher. 2016 · 2016
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Jointly learning sentence embeddings and syntax with unsupervised tree-lstms
Jean Maillard, Stephen Clark, and Dani Yogatama. 2017 · 2017
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Learning to compose words into sentences with reinforcement learning
Dani Yogatama, Phil Blunsom, Chris Dyer, Edward Grefenstette, and Wang Ling. 2017 · 2017
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Towards AI-complete question answering: A set of prerequisite toy tasks
Jason Weston, Antoine Bordes, Sumit Chopra, and Tomas Mikolov. 2015 · 2015
Cited alongside, same era.
Learning to parse from a semantic objective: It works. is it syntax?
Adina Williams, Andrew Drozdov, and Samuel R. Bowman. 2018a
Cited in the paper.
Jihun Choi, Kang Min Yoo, and Sang-goo Lee. 2018 · 2018
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A broad-coverage challenge corpus for sentence understanding through inference
Adina Williams, Nikita Nangia, and Samuel R Bowman. 2018b · 2018
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