Papers by Lars Hellan

    1 papers
    Typical Sentences as a Resource for Valence (2020.lrec-1)

    Copied to clipboard

    Challenge: Verb valence information can be derived from corpora by using subcorpora of typical sentences that are constructed in a language independent manner based on frequent POS structures.
    Approach: They propose a method which allows one to 'strip' the POS-pattern of a sentence with various types of adjuncts down to those items representing the valence frame instantiated by the verb in question.
    Outcome: The proposed approach can be used to construct valence pairs for a bilingual polyval dictionary using the Norwegian valance dictionary NorVal.

    What is GenGO?

    GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

    Information

    About
    Limitations