Refining the Distributional Inclusion Hypothesis for Unsupervised Hypernym Identification

Several unsupervised methods for hypernym detection have been investigated in distributional semantics. Here we present a new approach based on a smoothed version of the distributional inclusion hypothesis. The new method is able to improve hypernym detection after testing on the BLESS dataset.

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Auteurs principaux: Ludovica Pannitto, Lavinia Salicchi, Alessandro Lenci
Format: article
Langue:EN
Publié: Accademia University Press 2018
Sujets:
H
Accès en ligne:https://doaj.org/article/da6f8ecc065a4a64bb29d283593ac08e
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