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.
Author: | Christian WartenaORCiDGND |
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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 |
Link to catalogue: | 1776176359 |
Institutes: | Fakultät III - Medien, Information und Design |
DDC classes: | 020 Bibliotheks- und Informationswissenschaft |
410 Linguistik | |
Licence (English): | ![]() |