On the compositionality prediction of noun phrases using poincaré embeddings

Abhik Jana, Dmitry Puzyrev, Alexander Panchenko, Pawan Goyal, Chris Biemann, Animesh Mukherjee

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

    2 Citations (Scopus)

    Abstract

    The compositionality degree of multiword expressions indicates to what extent the meaning of a phrase can be derived from the meaning of its constituents and their grammatical relations. Prediction of (non)-compositionality is a task that has been frequently addressed with distributional semantic models. We introduce a novel technique to blend hierarchical information with distributional information for predicting compositionality. In particular, we use hypernymy information of the multiword and its constituents encoded in the form of the recently introduced Poincaré embeddings in addition to the distributional information to detect compositionality for noun phrases. Using a weighted average of the distributional similarity and a Poincaré similarity function, we obtain consistent and substantial, statistically significant improvement across three gold standard datasets over state-of-the-art models based on distributional information only. Unlike traditional approaches that solely use an unsupervised setting, we have also framed the problem as a supervised task, obtaining comparable improvements. Further, we publicly release our Poincaré embeddings, which are trained on the output of handcrafted lexical-syntactic patterns on a large corpus.

    Original languageEnglish
    Title of host publicationACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference
    PublisherAssociation for Computational Linguistics (ACL)
    Pages3263-3274
    Number of pages12
    ISBN (Electronic)9781950737482
    Publication statusPublished - 2020
    Event57th Annual Meeting of the Association for Computational Linguistics, ACL 2019 - Florence, Italy
    Duration: 28 Jul 20192 Aug 2019

    Publication series

    NameACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference

    Conference

    Conference57th Annual Meeting of the Association for Computational Linguistics, ACL 2019
    Country/TerritoryItaly
    CityFlorence
    Period28/07/192/08/19

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