Using Corpus Statistics for WordNet Structuring
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 | |
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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 | |
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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 |
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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) |
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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) |
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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. |
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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 project | Name: 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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