The First Shared Task on Discourse Representation Structure Parsing

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

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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    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.
    Original languageEnglish
    Title of host publicationProceedings of the IWCS Shared Task on Semantic Parsing
    PublisherAssociation for Computational Linguistics (ACL)
    Number of pages15
    Publication statusPublished - 1-May-2019
    EventShared Task on Semantic Parsing at IWCS 2019 -- Workshop - University of Gothenburg, Gothenburg, Sweden
    Duration: 27-May-201927-May-2019


    WorkshopShared Task on Semantic Parsing at IWCS 2019 -- Workshop
    Internet address


    • Semantic parsing
    • Discourse Representation Structures
    • Shared task

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