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HsH: Estimating Semantic Similarity of Words and Short Phrases with Frequency Normalized Distance Measures

  • This paper describes the approach of the Hochschule Hannover to the SemEval 2013 Task Evaluating Phrasal Semantics. In order to compare a single word with a two word phrase we compute various distributional similarities, among which a new similarity measure, based on Jensen-Shannon Divergence with a correction for frequency effects. The classification is done by a support vector machine that uses all similarities as features. The approach turned out to be the most successful one in the task.

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Metadaten
Author:Christian WartenaORCiDGND
URN:urn:nbn:de:bsz:960-opus4-20778
URL:https://aclanthology.org/S13-2008.pdf
DOI:https://doi.org/10.25968/opus-2077
Parent Title (English):Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 2: Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013)
Publisher:Association for Computational Linguistics
Editor:Suresh Manandhar, Deniz Yuret
Document Type:Conference Proceeding
Language:English
Year of Completion:2013
Publishing Institution:Hochschule Hannover
Release Date:2021/09/22
GND Keyword:Wort; Zweiwortsatz; Vergleich; Semantik; Ähnlichkeit
First Page:48
Last Page:52
Institutes:Fakultät III - Medien, Information und Design
DDC classes:020 Bibliotheks- und Informationswissenschaft
410 Linguistik
Licence (English):License LogoCreative Commons - Namensnennung-Nicht-kommerziell-Weitergabe unter gleichen Bedingungen 3.0 International