In this paper we apply existing directional similarity measures to identify hypernyms with a state-of-the-art distributional semantic model. We also propose a new directional measure that achieves the best performance in hypernym identification.
Identifying hypernyms in distributional semantic spaces
LENCI, ALESSANDRO;BENOTTO, GIULIA
2012-01-01
Abstract
In this paper we apply existing directional similarity measures to identify hypernyms with a state-of-the-art distributional semantic model. We also propose a new directional measure that achieves the best performance in hypernym identification.File in questo prodotto:
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