Paper: Punctuation Processing for Projective Dependency Parsing

ACL ID P14-2128
Title Punctuation Processing for Projective Dependency Parsing
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2014

Modern statistical dependency parsers as- sign lexical heads to punctuations as well as words. Punctuation parsing errors lead to low parsing accuracy on words. In this work, we propose an alternative approach to addressing punctuation in dependency parsing. Rather than assigning lexical heads to punctuations, we treat punctu- ations as properties of their neighbour- ing words, used as features to guide the parser to build the dependency graph. In- tegrating our method with an arc-standard parser yields a 93.06% unlabelled attach- ment score, which is the best accuracy by a single-model transition-based parser re- ported so far.