Genre and domain processing in an information retrieval perspective

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

Volumn 2722, Issue , 2003, Pages 399-402

  Poudat, Céline ^a   Cleuziou, Guillaume ^b  

^a Centre Orléanais de Recherche en Anthropologie et Linguistique   (France)

^b LIFO   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER SCIENCE; COMPUTERS;

CLUSTERING METHODS; DOCUMENT STRUCTURE; DOMAIN PROCESSING; IR FIELDS; LINGUISTIC PROPERTIES; SCIENTIFIC ARTICLES; TEXTUAL DATA; WEB-BASED APPLICATIONS;

CLASSIFICATION (OF INFORMATION);

EID: 21144437980     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45068-8_73     Document Type: Review

References (6)

1. BIBER, D. Variation across Speech and Writing. Cambridge University Press, Cambridge, 1988.
2. CLEUZIOU, G., CLAVIER, V. and MARTIN, L., Organisation conceptuelle de mots pour la Recherche d'Information sur le Web. Conférence francophone d'Apprentissage CAp'02, 2002.
3. KARLGREN, J. Text genre recognition using discriminant analysis. International Conference on Computational Linguistics, 1994.
4. MALRIEU, D. et RASTIER, F. Genres et Variations morphosyntaxiques in TAL, Vol. 42, num. 2/2001.
5. POUDAT, C. Characterization of French linguistic research articles with morphosyntactic variables in Academic discourse - multidisciplinary approaches, 2003.
6. SLONIM N. and TISHBY N. The power of word clusters for text classification. In 23rd European Colloquium on Information Retrieval Research. 2001.