Volltext-Downloads (blau) und Frontdoor-Views (grau)
  • search hit 4 of 42
Back to Result List

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.

Download full text files

Export metadata

Additional Services

Search Google Scholar

Statistics

frontdoor_oas
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
Link to catalogue:1776176359
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