Drug-drug interaction extraction using composite kernels

CEUR Workshop Proceedings

Volumn 761, Issue , 2011, Pages 27-33

  Chowdhury, Md Faisal Mahbub ^a,b   Lavelli, Alberto ^a  

^a FONDAZIONE BRUNO KESSLER   (Italy)

^b UNIVERSITY OF TRENTO   (Italy)

Author keywords

Dependency tree; Drugs; Global context; Kernels; Local context; Phrase structure tree

Indexed keywords

DEPENDENCY TREES; DRUGS; GLOBAL CONTEXT; KERNELS; LOCAL CONTEXTS; PHRASE STRUCTURE TREES;

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

DRUG INTERACTIONS;

EID: 84891102109     PISSN: 16130073     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

1. Bunescu, R., Ge, R., Kate, R.J., Marcotte, E.M., Mooney, R.J., Ramani, A.K., Wong, Y.W.: Comparative experiments on learning information extractors for proteins and their interactions. Artificial Intelligence in Medicine (Special Issue on Summarization and Information Extraction from Medical Documents) 33(2), 139-155 (2005)
2. Chowdhury, M.F.M., Lavelli, A., Moschitti, A.: A study on dependency tree kernels for automatic extraction of protein-protein interaction. In: Proceedings of BioNLP 2011 Workshop. pp. 124-133. Association for Computational Linguistics, Portland, Oregen, USA (June 2011)
3. Culotta, A., Sorensen, J.: Dependency tree kernels for relation extraction. In: Proceedings of the 42nd Annual Meeting of the Association for Computational Linguistics. Barcelona, Spain (2004)
4. Giuliano, C., Lavelli, A., Romano, L.: Exploiting shallow linguistic information for relation extraction from biomedical literature. In: Proceedings of the 11th Conference of the European Chapter of the Association for Computational Linguistics (EACL'2006). pp. 401-408. Trento, Italy (2006)
5. Joachims, T.: Making large-scale support vector machine learning practical. In: Advances in kernel methods: support vector learning, pp. 169-184. MIT Press, Cambridge, MA, USA (1999)
6. Klein, D., Manning, C.D.: Accurate unlexicalized parsing. In: Proceedings of the 41st Annual Meeting on Association for Computational Linguistics (ACL '03). pp. 423-430. Association for Computational Linguistics, Sapporo, Japan (2003)
7. Moschitti, A.: A study on convolution kernels for shallow semantic parsing. In: Proceedings of the 42nd Annual Meeting of the Association for Computational Linguistics. ACL '04, Barcelona, Spain (2004)
8. Moschitti, A.: Efficient convolution kernels for dependency and constituent syntactic trees. In: Fürnkranz, J., Scheffer, T., Spiliopoulou, M. (eds.) Machine Learning: ECML 2006, Lecture Notes in Computer Science, vol. 4212, pp. 318-329. Springer Berlin / Heidelberg (2006)
9. Segura-Bedmar, I., Martínez, P., Pablo-Sánchez, C.d.: Using a shallow linguistic kernel for drug-drug interaction extraction. Journal of Biomedical Informatics In Press, Corrected Proof, Available online (24 April, 2011)
10. Severyn, A., Moschitti, A.: Fast cutting plane training for structural kernels. In: Proceedings of ECML-PKDD (2010)