Parsing with dynamic continuized CCG

Michael White, Jordan Needle, Simon Charlow, Dylan Bumford

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We present an implemented method of parsing with Combinatory Categorial Grammar (CCG) that for the first time derives the exceptional scope behavior of indefinites in a principled and plausibly practical way. The account implements Charlow’s (2014) monadic approach to dynamic semantics, in which indefinites’ exceptional scope taking follows from the way the side effect of introducing a discourse referent survives the process of delimiting the scope of true quantifiers in a continuized grammar. To efficiently parse with this system, we extend Barker and Shan’s (2014) method of parsing with continuized grammars to only invoke monadic lifting and lowering where necessary, and define novel normal form constraints on lifting and lowering to avoid spurious ambiguities. We also integrate Steedman’s (2000) CCG for deriving basic predicate-argument structure and enrich it with a method of lexicalizing scope island constraints. We argue that the resulting system improves upon Steedman’s CCG in terms of theoretical perspicuity and empirical coverage while retaining many of its attractive computational properties.

Original languageEnglish (US)
Title of host publicationTAG+ 2017 - 13th International Workshop on Tree Adjoining Grammars and Related Formalisms, Proceedings
PublisherAssociation for Computational Linguistics (ACL)
Pages71-83
Number of pages13
ISBN (Electronic)9781945626982
StatePublished - 2017
Event13th International Workshop on Tree Adjoining Grammars and Related Formalisms, TAG+ 2017 - Umea, Sweden
Duration: Sep 4 2017Sep 6 2017

Publication series

NameTAG+ 2017 - 13th International Workshop on Tree Adjoining Grammars and Related Formalisms, Proceedings

Conference

Conference13th International Workshop on Tree Adjoining Grammars and Related Formalisms, TAG+ 2017
Country/TerritorySweden
CityUmea
Period9/4/179/6/17

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Information Systems
  • Computational Theory and Mathematics

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