%0 Journal Article
%T Sequential Data Mining for Information Extraction from Texts Fouille de donn¨¦es s¨¦quentielles pour l¡¯extraction d¡¯information dans les textes
%A Thierry Charnois
%A Marc Plantevit
%A Christophe Rigotti
%A Bruno Cr¨¦milleux
%J Traitement Automatique des Langues
%D 2010
%I Association pour le Traitement Automatique des Langues (ATALA)
%X This paper shows the bene t of using data mining methods for Biological Natural Language Processing. A method for discovering linguistic patterns based on a recursive sequential pattern mining is proposed. It does not require a sentence parsing nor other resource except a training data set. It produces understandable results and we show its interest in the extraction of relations between named entities. For the named entities recognition problem, we propose a method based on a new kind of patterns taking account the sequence and its context.
%K information extraction
%K data mining
%K sequential patterns and LSR patterns
%K BioNLP
%U http://www.atala.org/IMG/pdf/TAL-2009-3-02-Charnois.pdf