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Constituent Parsing as Sequence Labeling

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We introduce a method to reduce constituent parsing to sequence labeling. For each word w_t, it generates a label that encodes: (1) the number of ancestors in the tree that the words w_t and w_{t+1} have in common, and (2) the nonterminal symbol at the lowest common ancestor. We first prove that the proposed encoding function is injective for any tree without unary branches. In practice, the approach is made extensible to all constituency trees by collapsing unary branches. We then use the PTB and CTB treebanks as testbeds and propose a set of fast baselines. We achieve 90.7% F-score on the PTB test set, outperforming the Vinyals et al. (2015) sequence-to-sequence parser. In addition, sacrificing some accuracy, our approach achieves the fastest constituent parsing speeds reported to date on PTB by a wide margin.

Carlos G\'omez-Rodr\'iguez, David Vilares• 2018

Related benchmarks

TaskDatasetResultRank
Constituent ParsingPTB (test)
F190
127
ParsingPTB (test)
Sents/sec780
17
Constituency ParsingChinese Treebank 5.1 (test)
F1 Score84.4
13
Constituency ParsingPTB (test)
Speed (Sents/s)780
12
Constituency ParsingPTB WSJ (Section 23 test)
F1 Score90.7
12
Syntactic ParsingEnglish Penn Treebank (test)
Speed (Sents/s)780
11
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