Feature selection for drug-drug interaction detection using machine-learning based approaches

CEUR Workshop Proceedings

Volumn 761, Issue , 2011, Pages 43-50

  Minard, Anne Lyse ^a,b   Makour, Lamia ^a   Ligozat, Anne Laure ^a,c   Grau, Brigitte ^a,c  

^a CNRS   (France)

^b UNIVERSITÉ PARIS SACLAY   (France)

^c ENSIIE   (France)

Author keywords

Drug drug interaction; Feature selection; LIBSVM; Machine learning methods; Relation extraction; SVMPerf

Indexed keywords

DRUG-DRUG INTERACTIONS; LIBSVM; MACHINE-LEARNING; RELATION EXTRACTION; SVMPERF;

EXTRACTION; FEATURE EXTRACTION; LEARNING ALGORITHMS; LEARNING SYSTEMS; NATURAL LANGUAGE PROCESSING SYSTEMS;

DRUG INTERACTIONS;

EID: 84891080973     PISSN: 16130073     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. Chih-Chung Chang and Chih-Jen Lin, 2001. LIBSVM: a library for support vector machines. Software available at http://www.csie.ntu.edu.tw/~cjlin/libsvm.
2. Y. W. Chen and C. J. Lin, 2006. Combining SVMs with various feature selection strategies. Springer.
3. Thorsten Joachims. 2005. A support vector method for multivariate performance measures. In Proceedings of the 22nd international conference on Machine learning, ICML '05, pages 377-384, New York, NY, USA. ACM.
4. David McClosky. 2010. Any Domain Parsing: Automatic Domain Adaptation for Natural Language Parsing. PHD Thesis, Department of Computer Science, Brown University.
5. Anne-Lyse Minard, Anne-Laure Ligozat, Asma Ben Abacha, Delphine Bernhard, Bruno Cartoni, Louise Delger, Brigitte Grau, Sophie Rosset, Pierre Zweigenbaum, and Cyril Grouin. 2011. Hybrid methods for improving information access in clinical documents: Concept, assertion, and relation identification.
6. Angus Roberts, Robert Gaizauskas, and Mark Hepple. 2008. Extracting clinical relationships from patient narratives. In BioNLP2008: Current Trends in Biomedical Natural Language Processing, pages 10-18.
7. Helmut Schmid. 1994. Probabilistic part-of-speech tagging using decision trees. In Proceedings of the International Conference on New Methods in Language Processing, pages 44-49.
8. Isabel Segura-Bedmar, Paloma Martinez, and Cesar de Pablo-Sanchez. 2011. Using a shallow linguistic kernel for drug-drug interaction extraction. Journal of Biomedical Informatics, In Press, Corrected Proof:-.
9. GuoDong Zhou, Jian Su, Jie Zhang, and Min Zhang. 2005. Exploring various knowledge in relation extraction. In Proceedings of the 43rd Annual Meeting of the ACL, pages 427-434.