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Many problems in NLP require aggregating information from multiple mentions of the same entity which may be far apart in the text.
Easy victories and uphill battles in coreference resolution
Greg Durrett and Dan Klein. 2013 · 1982
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Learning phrase representations using rnn encoder-decoder for statistical machine translation
Kyunghyun Cho, Bart Van Merriënboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio. 2014 · 2014
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Glove: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher D. Manning. 2014 · 2014
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Entity-centric coreference resolution with model stacking
Kevin Clark and Christopher D Manning. 2015 · 2015
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Teaching machines to read and comprehend
Karl Moritz Hermann, Tomas Kocisky, Edward Grefenstette, Lasse Espeholt, Will Kay, Mustafa Suleyman, and Phil Blunsom. 2015 · 2015
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End-to-end memory networks
Sainbayar Sukhbaatar, Jason Weston, Rob Fergus, et al. 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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Towards ai-complete question answering: A set of prerequisite toy tasks
Jason Weston, Antoine Bordes, Sumit Chopra, Alexander M Rush, Bart van Merriënboer, Armand Joulin, and Tomas Mikolov. 2015 · 2015
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Tracking the world state with recurrent entity networks
Mikael Henaff, Jason Weston, Arthur Szlam, Antoine Bordes, and Yann LeCun. 2016 · 2016
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Dynamic entity representation with max-pooling improves machine reading
Sosuke Kobayashi, Ran Tian, Naoaki Okazaki, and Kentaro Inui. 2016 · 2016
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Key-value memory networks for directly reading documents
Alexander Miller, Adam Fisch, Jesse Dodge, Amir-Hossein Karimi, Antoine Bordes, and Jason Weston. 2016 · 2016
Cited alongside, same era.
The lambada dataset: Word prediction requiring a broad discourse context
Denis Paperno, Germán Kruszewski, Angeliki Lazaridou, Quan Ngoc Pham, Raffaella Bernardi, Sandro Pezzelle, Marco Baroni, Gemma Boleda, and Raquel Fernández. 2016 · 2016
Cited alongside, same era.
Learning global features for coreference resolution
Sam Wiseman, Alexander M Rush, and Stuart M Shieber. 2016 · 2016
Cited alongside, same era.
Improved neural machine translation with a syntax-aware encoder and decoder
Huadong Chen, Shujian Huang, David Chiang, and Jiajun Chen. 2017 · 2017
Cited alongside, same era.
End-to-end neural coreference resolution
Kenton Lee, Luheng He, Mike Lewis, and Luke Zettlemoyer. 2017 · 2017
Later among the works it cites.
Cross-sentence n-ary relation extraction with graph lstms
Nanyun Peng, Hoifung Poon, Chris Quirk, Kristina Toutanova, and Wen-tau Yih. 2017 · 2017
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Syntax aware lstm model for chinese semantic role labeling
Feng Qian, Lei Sha, Baobao Chang, Lu-chen Liu, and Ming Zhang. 2017 · 2017
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Learning Algorithms for Broad-Coverage Semantic Parsing
Swabha Swayamdipta. 2017 · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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Emergent logical structure in vector representations of neural readers
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Broad context language modeling as reading comprehension
Zewei Chu, Hai Wang, Kevin Gimpel, and David McAllester. 2017 · 2017
Cited alongside, same era.
Frustratingly short attention spans in neural language modeling
Michał Daniluk, Tim Rocktäschel, Johannes Welbl, and Sebastian Riedel. 2017 · 2017
Cited alongside, same era.
Should neural network architecture reflect linguistic structure?
Chris Dyer. 2017 · 2017
Cited alongside, same era.
Dynamic entity representations in neural language models
Yangfeng Ji, Chenhao Tan, Sebastian Martschat, Yejin Choi, and Noah A Smith. 2017 · 2017
Cited alongside, same era.
Gated-attention readers for text comprehension
Bhuwan Dhingra, Hanxiao Liu, Zhilin Yang, William W Cohen, and Ruslan Salakhutdinov. 2017a
Cited in the paper.
Linguistic knowledge as memory for recurrent neural networks
Bhuwan Dhingra, Zhilin Yang, William W Cohen, and Ruslan Salakhutdinov. 2017b
Cited in the paper.
Bidirectional attention flow for machine comprehension
Minjoon Seo, Aniruddha Kembhavi, Ali Farhadi, and Hannaneh Hajishirzi. 2017a
Cited in the paper.
Hai Wang, Takeshi Onishi, Kevin Gimpel, and David McAllester. 2017 · 2017
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Fastqa: A simple and efficient neural architecture for question answering
Dirk Weissenborn, Georg Wiese, and Laura Seiffe. 2017 · 2017
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Constructing datasets for multi-hop reading comprehension across documents
Johannes Welbl, Pontus Stenetorp, and Sebastian Riedel. 2017 · 2017
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Reference-aware language models
Zichao Yang, Phil Blunsom, Chris Dyer, and Wang Ling. 2017 · 2017
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