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Protein-protein interaction extraction by leveraging multiple kernels and parsers.

, , , and . Int. J. Medical Informatics, 78 (12): 39-46 (2009)

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Connecting Text Mining and Pathways using the PathText Resource., , , , , , , , , and . LREC, European Language Resources Association, (2008)Terminological resources for text mining over biomedical scientific literature., , and . Artif. Intell. Medicine, 52 (2): 107-114 (2011)Extracting Protein Interactions from Text with the Unified AkaneRE Event Extraction System., , , , , and . IEEE ACM Trans. Comput. Biol. Bioinform., 7 (3): 442-453 (2010)IDI$@$NTNU at SemEval-2016 Task 6: Detecting Stance in Tweets Using Shallow Features and GloVe Vectors for Word Representation., , , and . SemEval@NAACL-HLT, page 445-450. The Association for Computer Linguistics, (2016)Syntactic Features for Protein-Protein Interaction Extraction., , and . LBM (Short Papers), volume 319 of CEUR Workshop Proceedings, CEUR-WS.org, (2007)Protein-protein interaction extraction by leveraging multiple kernels and parsers., , , and . Int. J. Medical Informatics, 78 (12): 39-46 (2009)Towards Data and Goal Oriented Analysis: Tool Inter-operability and Combinatorial Comparison., , , , , , , , and . IJCNLP, page 859-864. The Association for Computer Linguistics, (2008)From Protein-Protein Interaction to Molecular Event Extraction., , , and . BioNLP@HLT-NAACL (Shared Task), page 103-106. Association for Computational Linguistics, (2009)AGRA: analysis of gene ranking algorithms., , , , , , , , and . Bioinform., 27 (8): 1185-1186 (2011)Medie and Info-pubmed: 2010 update., , , , , , and . BMC Bioinform., 11 (S-5): P7 (2010)