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Advances in natural language processing tasks have gained momentum in recent years due to the increasingly popular neural network methods.
Lambda dependency-based compositional semantics
Percy Liang · 2013
Earlier work this paper cites.
Semantic parsing via paraphrasing
Jonathan Berant and Percy Liang · 2014
Earlier work this paper cites.
Question answering with subgraph embeddings
Antoine Bordes, Sumit Chopra, and Jason Weston · 2014
Earlier work this paper cites.
Convolutional neural networks for sentence classification
Yoon Kim · 2014
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik Kingma and Jimmy Ba · 2014
Cited alongside, same era.
Glove: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher D Manning · 2014
Cited alongside, same era.
Compositional semantic parsing on semi-structured tables
Panupong Pasupat and Percy Liang · 2015
Cited alongside, same era.
Building a semantic parser overnight
Yushi Wang, Jonathan Berant, Percy Liang, et al · 2015
Cited alongside, same era.
Character-aware neural language models
Yoon Kim, Yacine Jernite, David Sontag, and Alexander M Rush · 2016
Later among the works it cites.
Learning a natural language interface with neural programmer
Arvind Neelakantan, Quoc V Le, Martin Abadi, Andrew McCallum, and Dario Amodei · 2016
Later among the works it cites.
Neural enquirer: learning to query tables in natural language
Pengcheng Yin, Zhengdong Lu, Hang Li, and Ben Kao · 2016
Later among the works it cites.
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