Word classification based on combined measures of distributional and semantic similarity

10th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2003

Volumn , Issue , 2003, Pages 147-150

  Pekar, Viktor ^a   Staab, Steffen ^b  

^a Birsk Branch of Federal State Budgetary Educational Establishment of Higher Education Bashkir State University   (Russian Federation)

^b UNIVERSITY OF KARLSRUHE   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPUTATIONAL LINGUISTICS; THESAURI;

CLASSIFICATION METHODS; COMBINED MEASURE; DISTRIBUTIONAL SIMILARITIES; SEMANTIC RELATEDNESS; SEMANTIC SIMILARITY; TARGET CLASS; WORD CLASSIFICATION;

SEMANTICS;

EID: 33749653926     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. E.Alfonseca and S.Manandhar. 2002. Extending a Lexical Ontology by a Combination of Distributional Semantics Signatures. Proceedings of EKAW-2002:1-7.
2. A.Budanitsky and G.Hirst. 2001. Semantic distance in WordNet: An experimental, application-oriented evaluation of five measures. Proceedings of North American Chapter of ACL Workshop on WordNet and Other Lexical Resources.
3. U.Hahn and K.Schattinger. 1998. Towards text knowledge engineering. Proceedings of AAAMAAI:524-531.
4. B.Roark and E.Charniak. 1998. Noun-phrase cooccurence statistics for semi-automatic semantic lexicon construction. Proceedings of COLING-ACL: 1110-1116.
5. E.Riloff and J.Sheppard. 1997. A corpus-based Tproach for building semantic lexicons. Proceedings of EMNLP:127-132.