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Higher-order methods for dependency parsing can partially but not fully address the issue that edges in dependency trees should be constructed at the text span/subtree level rather than word level.
Left-to-right dependency parsing with pointer networks
Daniel Fernández-González and Carlos Gómez-Rodríguez. 2019 · 1903
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Pre-training with whole word masking for chinese bert
Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Ziqing Yang, Shijin Wang, and Guoping Hu. 2019 · 1906
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Roberta: A robustly optimized bert pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019 · 1907
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Semi-supervised sequence modeling with cross-view training
Kevin Clark, Minh-Thang Luong, Christopher D. Manning, and Quoc Le. 2018 · 1925
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Building a large annotated corpus of English: The Penn Treebank
Mitchell P. Marcus, Beatrice Santorini, and Mary Ann Marcinkiewicz. 1993 · 1993
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Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997
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Bilexical grammars and their cubic-time parsing algorithms
Jason Eisner. 2000 · 2000
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Building a large-scale annotated Chinese corpus
Nianwen Xue, Fu-Dong Chiou, and Martha Palmer. 2002 · 2002
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Alireza Mohammadshahi and James Henderson. 2020b · 2003
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An efficient algorithm for projective dependency parsing
Joakim Nivre. 2003 · 2003
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Online passive-aggressive algorithms
Koby Crammer, Ofer Dekel, Joseph Keshet, Shai Shalev-Shwartz, and Yoram Singer. 2006 · 2006
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Multitask pointer network for multi-representational parsing
Daniel Fernández-González and Carlos Gómez-Rodríguez. 2020 · 2009
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Transition-based dependency parsing with rich non-local features
Yue Zhang and Joakim Nivre. 2011 · 2011
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Cross-lingual universal dependency parsing only from one monolingual treebank
Kailai Sun, Zuchao Li, and Hai Zhao. 2020 · 2012
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A fast and accurate dependency parser using neural networks
Danqi Chen and Christopher D Manning. 2014 · 2014
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba. 2014 · 2014
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The stanford corenlp natural language processing toolkit
Christopher D Manning, Mihai Surdeanu, John Bauer, Jenny Rose Finkel, Steven Bethard, and David McClosky. 2014 · 2014
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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 · 2015
Cited alongside, same era.
An effective neural network model for graph-based dependency parsing
Wenzhe Pei, Tao Ge, and Baobao Chang. 2015 · 2015
Cited alongside, same era.
Improved dependency parsing using implicit word connections learned from unlabeled data
Wenhui Wang, Baobao Chang, and Mairgup Mansur. 2018 · 2018
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Qanet: Combining local convolution with global self-attention for reading comprehension
Adams Wei Yu, David Dohan, Minh-Thang Luong, Rui Zhao, Kai Chen, Mohammad Norouzi, and Quoc V Le. 2018 · 2018
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Enhancing unsupervised generative dependency parser with contextual information
Wenjuan Han, Yong Jiang, and Kewei Tu. 2019 · 2019
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Graph-based dependency parsing with graph neural networks
Tao Ji, Yuanbin Wu, and Man Lan. 2019 · 2019
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Bidirectional transition-based dependency parsing
Yunzhe Yuan, Yong Jiang, and Kewei Tu. 2019 · 2019
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High-order graph-based neural dependency parsing
Zhisong Zhang and Hai Zhao. 2015 · 2015
Cited alongside, same era.
A neural probabilistic structured-prediction model for transition-based dependency parsing
Hao Zhou, Yue Zhang, Shujian Huang, and Jiajun Chen. 2015 · 2015
Cited alongside, same era.
Deep biaffine attention for neural dependency parsing
Timothy Dozat and Christopher D Manning. 2016 · 2016
Cited alongside, same era.
Simple and accurate dependency parsing using bidirectional LSTM feature representations
Eliyahu Kiperwasser and Yoav Goldberg. 2016 · 2016
Cited alongside, same era.
Universal Dependencies v1: A multilingual treebank collection
Joakim Nivre, Marie-Catherine de Marneffe, Filip Ginter, Yoav Goldberg, Jan Hajič, Christopher D. Manning, Ryan McDonald, Slav Petrov, Sampo Pyysalo, Natalia Silveira, Reut Tsarfaty, and Daniel Zeman. 2016 · 2016
Cited alongside, same era.
Graph-based dependency parsing with bidirectional LSTM
Wenhui Wang and Baobao Chang. 2016 · 2016
Cited alongside, same era.
Probabilistic graph-based dependency parsing with convolutional neural network
Zhisong Zhang, Hai Zhao, and Lianhui Qin. 2016 · 2016
Cited alongside, same era.
An empirical investigation of structured output modeling for graph-based neural dependency parsing
Zhisong Zhang, Xuezhe Ma, and Eduard Hovy. 2019 · 2019
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Head-Driven Phrase Structure Grammar parsing on Penn Treebank
Junru Zhou and Hai Zhao. 2019 · 2019
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Semi-supervised semantic dependency parsing using CRF autoencoders
Zixia Jia, Youmi Ma, Jiong Cai, and Kewei Tu. 2020 · 2020
Later among the works it cites.
Graph-to-graph transformer for transition-based dependency parsing
Alireza Mohammadshahi and James Henderson. 2020a · 2020
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Rethinking self-attention: Towards interpretability in neural parsing
Khalil Mrini, Franck Dernoncourt, Quan Hung Tran, Trung Bui, Walter Chang, and Ndapa Nakashole. 2020 · 2020
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Second-order neural dependency parsing with message passing and end-to-end training
Xinyu Wang and Kewei Tu. 2020 · 2020
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Efficient second-order TreeCRF for neural dependency parsing
Yu Zhang, Zhenghua Li, and Min Zhang. 2020 · 2020
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Dependency parsing with bottom-up hierarchical pointer networks
Daniel Fernández-González and Carlos Gómez-Rodríguez. 2021 · 2021
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