AZAROVA, Irina and Anna SINOPALNIKOVA. Using Corpus Statistics for WordNet Structuring. In Proceedings of the Second International Conference on Corpus Linguistics (Corpora-2004). Saint-Petersburg: Saint-Petersburg State University Press, 2004, p. 3-11, 8 pp. ISBN 5-288-03531-8.
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Basic information
Original name Using Corpus Statistics for WordNet Structuring
Name in Czech Použití korpusové statistiky pro členění WordNet
Name (in English) Using Corpus Statistics for WordNet Structuring
Authors AZAROVA, Irina (643 Russian Federation, guarantor) and Anna SINOPALNIKOVA (643 Russian Federation).
Edition Saint-Petersburg, Proceedings of the Second International Conference on Corpus Linguistics (Corpora-2004), p. 3-11, 8 pp. 2004.
Publisher Saint-Petersburg State University Press
Other information
Original language Russian
Type of outcome Proceedings paper
Field of Study 20206 Computer hardware and architecture
Country of publisher Russian Federation
Confidentiality degree is not subject to a state or trade secret
RIV identification code RIV/00216224:14330/04:00010450
Organization unit Faculty of Informatics
ISBN 5-288-03531-8
Keywords in English wordnet; corpus; lexical statistics; semantic relations
Tags corpus, lexical statistics, semantic relations, WordNet
Tags International impact, Reviewed
Changed by Changed by: prof. Ing. Jiří Sochor, CSc., učo 2446. Changed: 22/4/2009 16:19.
Abstract
This paper deals with the problem of using corpus-driven statistics for automatic aquisiton of semantic relations. Results are checked against the parallel psycholinguisitc data.
Abstract (in Czech)
This paper deals with the problem of using corpus-driven statistics for automatic aquisiton of semantic relations. Results are checked against the parallel psycholinguisitc data.
Abstract (in English)
This paper deals with the problem of using corpus-driven statistics for automatic aquisiton of semantic relations. Results are checked against the parallel psycholinguisitc data.
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
1ET100300419, research and development projectName: Inteligentní modely, algoritmy, metody a nástroje pro vytváření sémantického webu
Investor: Academy of Sciences of the Czech Republic, Intelligent Models, Algorithms, Methods and Tools for the Semantic Web (realization)
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