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We show that constituency parsing benefits from unsupervised pre-training across a variety of languages and a range of pre-training conditions.
An empirical investigation of statistical significance in NLP
Taylor Berg-Kirkpatrick, David Burkett, and Dan Klein. 2012 · 2012
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(Re)ranking meets morphosyntax: State-of-the-art results from the SPMRL 2013 shared task
Anders Björkelund, Ozlem Cetinoglu, Richárd Farkas, Thomas Mueller, and Wolfgang Seeker. 2013 · 2013
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Overview of the SPMRL 2013 shared task: A cross-framework evaluation of parsing morphologically rich languages
Djamé Seddah, Reut Tsarfaty, Sandra Kübler, Marie Candito, Jinho D. Choi, Richárd Farkas, Jennifer Foster, Iakes Goenaga, Koldo Gojenola Galletebeitia, Yoav Goldberg, Spence Green, Nizar Habash, Marco Kuhlmann, Wolfgang Maier, Joakim Nivre, Adam Przepiórkowski, Ryan Roth, Wolfgang Seeker, Yannick Versley, Veronika Vincze, Marcin Woliński, Alina Wróblewska, and Eric Villemonte de la Clergerie. 2013 · 2013
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The IMS-Wrocław-Szeged-CIS entry at the SPMRL 2014 shared task: Reranking and morphosyntax meet unlabeled data
Anders Björkelund, Ozlem Cetinoglu, Agnieszka Faleńska, Richárd Farkas, Thomas Mueller, Wolfgang Seeker, and Zsolt Szántó. 2014 · 2014
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Parsing as language modeling
Do Kook Choe and Eugene Charniak. 2016 · 2016
Earlier work this paper cites.
Recurrent neural network grammars
Chris Dyer, Adhiguna Kuncoro, Miguel Ballesteros, and Noah A. Smith. 2016 · 2016
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Google’s Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu, Mike Schuster, Zhifeng Chen, Quoc V. Le, Mohammad Norouzi, Wolfgang Macherey, Maxim Krikun, Yuan Cao, Qin Gao, Klaus Macherey, Jeff Klingner, Apurva Shah, Melvin Johnson, Xiaobing Liu, Łukasz Kaiser, Stephan Gouws, Yoshikiyo Kato, Taku Kudo, Hideto Kazawa, Keith Stevens, George Kurian, Nishant Patil, Wei Wang, Cliff Young, Jason Smith, Jason Riesa, Alex Rudnick, Oriol Vinyals, Greg Corrado, Macduff Hughes, and Jeffrey Dean. 2016 · 2016
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Enriching word vectors with subword information
Piotr Bojanowski, Edouard Grave, Armand Joulin, and Tomas Mikolov. 2017 · 2017
Cited alongside, same era.
Multilingual lexicalized constituency parsing with word-level auxiliary tasks
Maximin Coavoux and Benoit Crabbé. 2017 · 2017
Cited alongside, same era.
Improving neural parsing by disentangling model combination and reranking effects
Daniel Fried, Mitchell Stern, and Dan Klein. 2017 · 2017
Cited alongside, same era.
In-order transition-based constituent parsing
Jiangming Liu and Yue Zhang. 2017 · 2017
Cited alongside, same era.
Policy gradient as a proxy for dynamic oracles in constituency parsing
Daniel Fried and Dan Klein. 2018 · 2018
Cited alongside, same era.
Universal language model fine-tuning for text classification
Jeremy Howard and Sebastian Ruder. 2018 · 2018
Extending a parser to distant domains using a few dozen partially annotated examples
Vidur Joshi, Matthew Peters, and Mark Hopkins. 2018 · 2018
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Constituency parsing with a self-attentive encoder
Nikita Kitaev and Dan Klein. 2018 · 2018
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Advances in pre-training distributed word representations
Tomas Mikolov, Edouard Grave, Piotr Bojanowski, Christian Puhrsch, and Armand Joulin. 2018 · 2018
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Deep contextualized word representations
Matthew Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer. 2018 · 2018
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Improving language understanding by generative pre-training
Alec Radford, Karthik Narasimhan, Tim Salimans, and Ilya Sutskever. 2018 · 2018
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Two local models for neural constituent parsing
Zhiyang Teng and Yue Zhang. 2018 · 2018
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Cited alongside, same era.
BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018a
Cited in the paper.
BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018b
Cited in the paper.
Closest in time.