Feature selection analysis for maximum entropy-based WSD

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2276, Issue , 2002, Pages 146-155

  Suárez, Armando ^a   Palomar, Manuel ^a  

^a UNIVERSITY OF ALICANTE   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; MACHINE LEARNING; MAXIMUM ENTROPY METHODS; NATURAL LANGUAGE PROCESSING SYSTEMS; SUPERVISED LEARNING; TEXT PROCESSING;

CONDITIONAL PROBABILITIES; CORPUS-BASED; LINGUISTIC FEATURES; PART OF SPEECH; SUPERVISED LEARNING METHODS; SYSTEM USE; WORD-SENSE DISAMBIGUATION;

FEATURE EXTRACTION;

EID: 84861266878     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45715-1_12     Document Type: Conference Paper

References (10)

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9. Maximiliano Saiz-Noeda, Armando Suárez, and Manuel Palomar. Semantic pattern learning through maximum entropy-based wsd technique. In Proceedings of CoNLL-2001, pages 23-29. Toulouse, France, 2001.
10. Hinrich Schütze and Keh-Yih Su, editors. Joint Sigdat Conference on Empirical Methods in Natural Language Processing and Very Large Corpora 2000, Hong Kong, China, 2000.