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.
Ludovica Pannitto, Lavinia Salicchi, Alessandro Lenci (2018). Refining the Distributional Inclusion Hypothesis for Unsupervised Hypernym Identification. IJCOL, 4(2), 45-55 [10.4000/ijcol.506].
Refining the Distributional Inclusion Hypothesis for Unsupervised Hypernym Identification
Ludovica Pannitto
Primo
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2018
Abstract
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.File in questo prodotto:
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