Improving hypernymy extraction with distributional semantic classes

Alexander Panchenko, Dmitry Ustalov, Stefano Faralli, Simone P. Ponzetto, Chris Biemann

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

    2 Citations (Scopus)

    Abstract

    In this paper, we show how distributionally-induced semantic classes can be helpful for extracting hypernyms. We present methods for inducing sense-aware semantic classes using distributional semantics and using these induced semantic classes for filtering noisy hypernymy relations. Denoising of hypernyms is performed by labeling each semantic class with its hypernyms. On the one hand, this allows us to filter out wrong extractions using the global structure of distributionally similar senses. On the other hand, we infer missing hypernyms via label propagation to cluster terms. We conduct a large-scale crowdsourcing study showing that processing of automatically extracted hypernyms using our approach improves the quality of the hypernymy extraction in terms of both precision and recall. Furthermore, we show the utility of our method in the domain taxonomy induction task, achieving the state-of-the-art results on a SemEval'16 task on taxonomy induction.

    Original languageEnglish
    Title of host publicationLREC 2018 - 11th International Conference on Language Resources and Evaluation
    EditorsHitoshi Isahara, Bente Maegaard, Stelios Piperidis, Christopher Cieri, Thierry Declerck, Koiti Hasida, Helene Mazo, Khalid Choukri, Sara Goggi, Joseph Mariani, Asuncion Moreno, Nicoletta Calzolari, Jan Odijk, Takenobu Tokunaga
    PublisherEuropean Language Resources Association (ELRA)
    Pages1541-1551
    Number of pages11
    ISBN (Electronic)9791095546009
    Publication statusPublished - 2019
    Event11th International Conference on Language Resources and Evaluation, LREC 2018 - Miyazaki, Japan
    Duration: 7 May 201812 May 2018

    Publication series

    NameLREC 2018 - 11th International Conference on Language Resources and Evaluation

    Conference

    Conference11th International Conference on Language Resources and Evaluation, LREC 2018
    Country/TerritoryJapan
    CityMiyazaki
    Period7/05/1812/05/18

    Keywords

    • Co-hyponyms
    • Distributional semantics
    • Hypernyms
    • Semantic classes
    • Word sense induction

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