Mixing statistical and symbolic approaches for chemical names recognition

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

Volumn 4919 LNCS, Issue , 2008, Pages 334-343

  Boudin, Florian ^a   Torres Moreno, Juan Manuel ^a,b   El Bèze, Marc ^a  

^a UNIVERSITY OF AVIGNON   (France)

^b ÉCOLE POLYTECHNIQUE DE MONTRÉAL   (Canada)

Author keywords

Chemical Informatics; Term Recognition; Text Mining

Indexed keywords

CHEMISTRY; CHLORINE COMPOUNDS; COMPUTATIONAL LINGUISTICS; LINGUISTICS; MIXING; TEXT PROCESSING; WORD PROCESSING;

BAYES CLASSIFIERS; CHEMICAL INFORMATICS; CHEMICAL-; DATA SETS; HYBRID APPROACHES; INTELLIGENT TEXT PROCESSING; INTERNATIONAL CONFERENCES; MATCHING ALGORITHMS; ORGANIC CHEMISTRY; RULES MATCHING; STATISTICAL TECHNIQUES; TERM RECOGNITION; TEXT MINING;

STATISTICAL METHODS;

EID: 49949090919     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-78135-6_28     Document Type: Conference Paper

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