Fetching the paper…
Reading the bibliography…
Generative neural models have recently achieved state-of-the-art results for constituency parsing.
Building a large annotated corpus of English: The Penn Treebank
Mitchell P. Marcus, Beatrice Santorini, and Mary Ann Marcinkiewicz. 1993 · 1993
Earlier work this paper cites.
Probabilistic top-down parsing and language modeling
Brian Roark. 2001 · 2001
Earlier work this paper cites.
Inducing history representations for broad coverage statistical parsing
James Henderson. 2003 · 2003
Earlier work this paper cites.
Top-down nearly-context-sensitive parsing
Eugene Charniak. 2010 · 2010
Earlier work this paper cites.
A latent variable model for generative dependency parsing
Ivan Titov and James Henderson. 2010 · 2010
Earlier work this paper cites.
Bayesian symbol-refined tree substitution grammars for syntactic parsing
Hiroyuki Shindo, Yusuke Miyao, Akinori Fujino, and Masaaki Nagata. 2012 · 2012
Cited alongside, same era.
Generative incremental dependency parsing with neural networks
Jan Buys and Phil Blunsom. 2015 · 2015
Cited alongside, same era.
Grammar as a foreign language
Oriol Vinyals, Łukasz Kaiser, Terry Koo, Slav Petrov, Ilya Sutskever, and Geoffrey Hinton. 2015 · 2015
Cited alongside, same era.
Parsing as language modeling
Do Kook Choe and Eugene Charniak. 2016 · 2016
Cited alongside, same era.
Span-based constituency parsing with a structure-label system and provably optimal dynamic oracles
James Cross and Liang Huang. 2016 · 2016
Cited alongside, same era.
Recurrent neural network grammars
Chris Dyer, Adhiguna Kuncoro, Miguel Ballesteros, and Noah A. Smith. 2016 · 2016
Later among the works it cites.
Improving neural parsing by disentangling model combination and reranking effects
Daniel Fried, Mitchell Stern, and Dan Klein. 2017 · 2017
Closest in time.
Shift-reduce constituent parsing with neural lookahead features
Jiangming Liu and Yue Zhang. 2017 · 2017
Closest in time.
A minimal span-based neural constituency parser
Mitchell Stern, Jacob Andreas, and Dan Klein. 2017 · 2017
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…