Evaluating Scoped Meaning Representations

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

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    Abstract

    Semantic parsing offers many opportunities to improve natural language understanding. We present a semantically annotated parallel corpus for English, German, Italian, and Dutch where sentences are aligned with scoped meaning representations in order to capture the semantics of negation, modals, quantification, and presupposition triggers. The semantic formalism is based on Discourse Representation Theory, but concepts are represented by WordNet synsets and thematic roles by VerbNet relations. Translating scoped meaning representations to sets of clauses enables us to compare them for the purpose of semantic parser evaluation and checking translations. This is done by computing precision and recall on matching clauses, in a similar way as is done for Abstract Meaning Representations. We show that our matching tool for evaluating scoped meaning representations is both accurate and efficient. Applying this matching tool to three baseline semantic parsers yields F-scores between 43% and 54%. A pilot study is performed to automatically find changes in meaning by comparing meaning representations of translations. This comparison turns out to be an additional way of (i) finding annotation mistakes and (ii) finding instances where our semantic analysis needs to be improved.
    Original languageEnglish
    Title of host publicationProceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)
    Place of PublicationParis
    PublisherEuropean Language Resources Association (ELRA)
    Pages1685-1693
    Number of pages9
    ISBN (Print)979-10-95546-00-9
    Publication statusPublished - 8-May-2018
    EventEleventh International Conference on Language Resources and Evaluation - Phoenix Seagaia Resort , Miyazaki , Japan
    Duration: 7-May-201812-May-2018
    http://lrec2018.lrec-conf.org/en/

    Conference

    ConferenceEleventh International Conference on Language Resources and Evaluation
    Abbreviated titleLREC 2018
    CountryJapan
    CityMiyazaki
    Period07/05/201812/05/2018
    Internet address

    Keywords

    • meaning representations
    • semantic parsing
    • discourse representation structures
    • semantic evaluation

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