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We propose a novel transition-based algorithm that straightforwardly parses sentences from left to right by building $n$ attachments, with $n$ being the length of the input sentence.
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Michael A. Covington. 2001 · 2001
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An efficient algorithm for projective dependency parsing
Joakim Nivre. 2003 · 2003
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The stanford typed dependencies representation
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Chris Dyer, Miguel Ballesteros, Wang Ling, Austin Matthews, and Noah A. Smith. 2015 · 2015
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Effective approaches to attention-based neural machine translation
Thang Luong, Hieu Pham, and Christopher D. Manning. 2015 · 2015
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Pointer networks
Oriol Vinyals, Meire Fortunato, and Navdeep Jaitly. 2015 · 2015
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Structured training for neural network transition-based parsing
David Weiss, Chris Alberti, Michael Collins, and Slav Petrov. 2015 · 2015
Distilling an ensemble of greedy dependency parsers into one mst parser
Adhiguna Kuncoro, Miguel Ballesteros, Lingpeng Kong, Chris Dyer, and Noah A. Smith. 2016 · 2016
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End-to-end sequence labeling via bi-directional lstm-cnns-crf
Xuezhe Ma and Eduard Hovy. 2016 · 2016
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Graph-based dependency parsing with bidirectional lstm
Wenhui Wang and Baobao Chang. 2016 · 2016
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Read, tag, and parse all at once, or fully-neural dependency parsing
Jan Chorowski, Michal Zapotoczny, and Pawel Rychlikowski. 2017 · 2017
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Stanford’s graph-based neural dependency parser at the conll 2017 shared task
Timothy Dozat, Peng Qi, and Christopher D. Manning. 2017 · 2017
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Globally normalized transition-based neural networks
Daniel Andor, Chris Alberti, David Weiss, Aliaksei Severyn, Alessandro Presta, Kuzman Ganchev, Slav Petrov, and Michael Collins. 2016 · 2016
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Bi-directional attention with agreement for dependency parsing
Hao Cheng, Hao Fang, Xiaodong He, Jianfeng Gao, and Li Deng. 2016 · 2016
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Named entity recognition with bidirectional lstm-cnns
Jason Chiu and Eric Nichols. 2016 · 2016
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Deep biaffine attention for neural dependency parsing
Timothy Dozat and Christopher D. Manning. 2016 · 2016
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Simple and accurate dependency parsing using bidirectional LSTM feature representations
Eliyahu Kiperwasser and Yoav Goldberg. 2016 · 2016
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Online large-margin training of dependency parsers
Ryan McDonald, Koby Crammer, and Fernando Pereira. 2005a
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Xuezhe Ma and Eduard Hovy. 2017 · 2017
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Arc-swift: A novel transition system for dependency parsing
Peng Qi and Christopher D. Manning. 2017 · 2017
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Dependency parsing as head selection
Xingxing Zhang, Jianpeng Cheng, and Mirella Lapata. 2017 · 2017
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Non-projective dependency parsing with non-local transitions
Daniel Fernández-González and Carlos Gómez-Rodríguez. 2018 · 2018
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Stack-pointer networks for dependency parsing
Xuezhe Ma, Zecong Hu, Jingzhou Liu, Nanyun Peng, Graham Neubig, and Eduard H. Hovy. 2018 · 2018
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