SINOPALNIKOVA, Anna and Pavel SMRŽ. Word Association Thesaurus as a Resource for Extending Semantic Networks. In Proceedings of the International Conference on Communications in Computing (CIC 2004). Las Vegas, Nevada, USA: CSREA Press, 2004, p. 267-274. ISBN 1-932415-36-X.
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Basic information
Original name Word Association Thesaurus as a Resource for Extending Semantic Networks
Name in Czech Tezaurus slovních asociací jako zdroj pro rozšiřování sémantických sítí
Authors SINOPALNIKOVA, Anna (703 Slovakia, guarantor) and Pavel SMRŽ (203 Czech Republic).
Edition Las Vegas, Nevada, USA, Proceedings of the International Conference on Communications in Computing (CIC 2004). p. 267-274, 8 pp. 2004.
Publisher CSREA Press
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
WWW URL
RIV identification code RIV/00216224:14330/04:00010447
Organization unit Faculty of Informatics
ISBN 1-932415-36-X
UT WoS 000225968100041
Keywords in English Semantic Web; Semantic Network; Word Association; Corpus; Wordnet
Tags corpus, semantic network, semantic web, word association, WordNet
Tags International impact, Reviewed
Changed by Changed by: prof. Ing. Jiří Sochor, CSc., učo 2446. Changed: 22/4/2009 16:19.
Abstract
The paper reports the on-going research for applying psycholinguistic resources to building and extending semantic networks. We survey different kinds of information that can be extracted from a Word Association Thesaurus (WAT), a resource representing the results of a large-scaled free association test. In addition, we give a comparison of WAT and other language resources (e.g. text corpora, explanatory dictionaries) from the viewpoint of the quality and quantity of semantic information they provide.
Abstract (in Czech)
The paper reports the on-going research for applying psycholinguistic resources to building and extending semantic networks. We survey different kinds of information that can be extracted from a Word Association Thesaurus (WAT), a resource representing the results of a large-scaled free association test. In addition, we give a comparison of WAT and other language resources (e.g. text corpora, explanatory dictionaries) from the viewpoint of the quality and quantity of semantic information they provide.
Links
MSM 143300003, plan (intention)Name: Interakce člověka s počítačem, dialogové systémy a asistivní technologie
Investor: Ministry of Education, Youth and Sports of the CR, Human-computer interaction, dialog systems and assistive technologies
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