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.

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

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Other information

Language

Russian

Type of outcome

Stať ve sborníku

Field of Study

20206 Computer hardware and architecture

Country of publisher

Russian Federation

Confidentiality degree

není předmětem státního či obchodního tajemství

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

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Abstract

V originále

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.

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.

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.

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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 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)