The First Shared Task on Discourse Representation Structure Parsing

Lasha Abzianidze, Rik van Noord, Hessel Haagsma, Johan Bos


Abstract
The paper presents the IWCS 2019 shared task on semantic parsing where the goal is to produce Discourse Representation Structures (DRSs) for English sentences. DRSs originate from Discourse Representation Theory and represent scoped meaning representations that capture the semantics of negation, modals, quantification, and presupposition triggers. Additionally, concepts and event-participants in DRSs are described with WordNet synsets and the thematic roles from VerbNet. To measure similarity between two DRSs, they are represented in a clausal form, i.e. as a set of tuples. Participant systems were expected to produce DRSs in this clausal form. Taking into account the rich lexical information, explicit scope marking, a high number of shared variables among clauses, and highly-constrained format of valid DRSs, all these makes the DRS parsing a challenging NLP task. The results of the shared task displayed improvements over the existing state-of-the-art parser.
Anthology ID:
W19-1201
Volume:
Proceedings of the IWCS Shared Task on Semantic Parsing
Month:
May
Year:
2019
Address:
Gothenburg, Sweden
Venues:
IWCS | WS
SIG:
SIGSEM
Publisher:
Association for Computational Linguistics
Note:
Pages:
Language:
URL:
https://www.aclweb.org/anthology/W19-1201
DOI:
10.18653/v1/W19-1201
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PDF:
http://aclanthology.lst.uni-saarland.de/W19-1201.pdf