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Chasing Hypernyms in Vector Spaces with Entropy

Enrico Santus, Alessandro Lenci, Qin Lu, Sabine Schulte im Walde

Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, (Volume 2: Short Papers) (EACL), pp. 38–42, 2014.


Abstract

In this paper, we introduce SLQS, a new entropy-based measure for the unsupervised identification of hypernymy and its directionality in Distributional Semantic Models (DSMs). SLQS is assessed through two tasks: (i.) identifying the hypernym in hyponym-hypernym pairs, and (ii.) discriminating hypernymy among various semantic relations. In both tasks, SLQS outperforms other state-of-the-art measures.

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BibTeX

@inproceedings{santus14_eacl, author = {Santus, Enrico and Lenci, Alessandro and Lu, Qin and {Schulte im Walde}, Sabine}, title = {Chasing Hypernyms in Vector Spaces with Entropy}, booktitle = {Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, (Volume 2: Short Papers) (EACL)}, pages = {38–42}, year = {2014}, doi = {10.3115/v1/E14-4008} }