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Parsing sentences into syntax trees can benefit downstream applications in NLP.
Linguistic structure and speech shadowing at very short latencies
William Marslen-Wilson · 1973
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Ronald J Williams and David Zipser · 1989
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David Milward · 1995
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Salah Ait-Mokhtar and Jean-Pierre Chanod · 1997
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Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber · 1997
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Brian Roark · 2001
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Towards incremental parsing of natural language using recursive neural networks
Fabrizio Costa, Paolo Frasconi, Vincenzo Lombardo, and Giovanni Soda · 2003
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Michael Collins and Brian Roark · 2004
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A classifier-based parser with linear run-time complexity
Kenji Sagae and Alon Lavie · 2005
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Processing coordinated structures: Incrementality and connectedness
Patrick Sturt and Vincenzo Lombardo · 2005
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The penn chinese treebank: Phrase structure annotation of a large corpus
Naiwen Xue, Fei Xia, Fu-Dong Chiou, and Marta Palmer · 2005
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Generating typed dependency parses from phrase structure parses
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Rectified linear units improve restricted boltzmann machines
Vinod Nair and Geoffrey E Hinton · 2010
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Parser showdown at the wall street corral: An empirical investigation of error types in parser output
Jonathan K Kummerfeld, David Hall, James R Curran, and Dan Klein · 2012
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Lecture 6.5-rmsprop: Divide the gradient by a running average of its recent magnitude
Tijmen Tieleman and Geoffrey Hinton · 2012
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Fast and accurate shift-reduce constituent parsing
Muhua Zhu, Yue Zhang, Wenliang Chen, Min Zhang, and Jingbo Zhu · 2013
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Transition-based dependency parsing with stack long short-term memory
Chris Dyer, Miguel Ballesteros, Wang Ling, Austin Matthews, and Noah A Smith · 2015
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The finite connectivity of linguistic structure
Edward P Stabler · 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
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Grammar as a foreign language
Oriol Vinyals, Łukasz Kaiser, Terry Koo, Slav Petrov, Ilya Sutskever, and Geoffrey Hinton · 2015
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Transition-based neural constituent parsing
Taro Watanabe and Eiichiro Sumita · 2015
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Jimmy Lei Ba, Jamie Ryan Kiros, and Geoffrey E Hinton · 2016
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Parsing as language modeling
Do Kook Choe and Eugene Charniak · 2016
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Improving sequence-to-sequence constituency parsing
Lemao Liu, Muhua Zhu, and Shuming Shi · 2018
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Deep contextualized word representations
Matthew E Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer · 2018
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Straight to the tree: Constituency parsing with neural syntactic distance
Yikang Shen, Zhouhan Lin, Athul Paul Jacob, Alessandro Sordoni, Aaron Courville, and Yoshua Bengio · 2018
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An empirical study of building a strong baseline for constituency parsing
Jun Suzuki, Sho Takase, Hidetaka Kamigaito, Makoto Morishita, and Masaaki Nagata · 2018
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Graph convolution over pruned dependency trees improves relation extraction
Yuhao Zhang, Peng Qi, and Christopher D Manning · 2018
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Bert: Pre-training of deep bidirectional transformers for language understanding
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Span-based constituency parsing with a structure-label system and provably optimal dynamic oracles
James Cross and Liang Huang · 2016
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Recurrent neural network grammars
Chris Dyer, Adhiguna Kuncoro, Miguel Ballesteros, and Noah A Smith · 2016
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Graph convolutional encoders for syntax-aware neural machine translation
Joost Bastings, Ivan Titov, Wilker Aziz, Diego Marcheggiani, and Khalil Sima’an · 2017
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Semi-supervised classification with graph convolutional networks
Thomas N Kipf and Max Welling · 2017
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In-order transition-based constituent parsing
Jiangming Liu and Yue Zhang · 2017
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A minimal span-based neural constituency parser
Mitchell Stern, Jacob Andreas, and Dan Klein · 2017
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Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2019
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Cross-domain generalization of neural constituency parsers
Daniel Fried, Nikita Kitaev, and Dan Klein · 2019
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Attention guided graph convolutional networks for relation extraction
Zhijiang Guo, Yan Zhang, and Wei Lu · 2019
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Graph-based dependency parsing with graph neural networks
Tao Ji, Yuanbin Wu, and Man Lan · 2019
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Multilingual constituency parsing with self-attention and pre-training
Nikita Kitaev, Steven Cao, and Dan Klein · 2019
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Pytorch: An imperative style, high-performance deep learning library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, et al · 2019
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Inter-sentence relation extraction with document-level graph convolutional neural network
Sunil Kumar Sahu, Fenia Christopoulou, Makoto Miwa, and Sophia Ananiadou · 2019
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Look again at the syntax: Relational graph convolutional network for gendered ambiguous pronoun resolution
Yinchuan Xu and Junlin Yang · 2019
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Xlnet: Generalized autoregressive pretraining for language understanding
Zhilin Yang, Zihang Dai, Yiming Yang, Jaime Carbonell, Russ R Salakhutdinov, and Quoc V Le · 2019
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Head-driven phrase structure grammar parsing on penn treebank
Junru Zhou and Hai Zhao · 2019
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Rethinking self-attention: Towards interpretability in neural parsing
Khalil Mrini, Franck Dernoncourt, Trung Bui, Walter Chang, and Ndapa Nakashole · 2020
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