Implementation of a Chomsky-Schützenberger n-best parser for weighted multiple context-free grammars

Research output: Contribution to book/conference proceedings/anthology/reportConference contributionContributedpeer-review

Contributors

Abstract

Constituent parsing has been studied extensively in the last decades.
Chomsky-Schützenberger parsing as an approach to constituent parsing has only been investigated theoretically, yet.
It uses the decomposition of a language into a regular language, a homomorphism, and a bracket language to divide the parsing problem into simpler subproblems.
We provide the first implementation of Chomsky-Schützenberger parsing.
It employs multiple context-free grammars and incorporates many refinements to achieve feasibility.
We compare its performance to state-of-the-art grammar-based parsers.

Details

Original languageEnglish
Title of host publicationProceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Place of PublicationMinneapolis, Minnesota
Pages178-191
Publication statusPublished - 2019
Peer-reviewedYes

Conference

Title2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Abbreviated titleNAACL 2019
Conference number
Duration3 - 5 June 2020
Website
Degree of recognitionInternational event
Location
City

Keywords

Keywords

  • parsing, discontinuous