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Filtering large-scale event collections using a combination of supervised and unsupervised learning for event trigger classification.

, , , and . J. Biomed. Semant., (2016)

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Syntactic analyses and named entity recognition for PubMed and PubMed Central - up-to-the-minute., , , and . BioNLP@ACL, page 102-107. Association for Computational Linguistics, (2016)End-to-End System for Bacteria Habitat Extraction., , , , , and . BioNLP, page 80-90. Association for Computational Linguistics, (2017)UTurku: Drug Named Entity Recognition and Drug-Drug Interaction Extraction Using SVM Classification and Domain Knowledge., , and . SemEval@NAACL-HLT, page 651-659. The Association for Computer Linguistics, (2013)Filtering large-scale event collections using a combination of supervised and unsupervised learning for event trigger classification., , , and . J. Biomed. Semant., (2016)Cell line name recognition in support of the identification of synthetic lethality in cancer from text., , , , , and . Bioinform., 32 (2): 276-282 (2016)Neural Network and Random Forest Models in Protein Function Prediction., , , , , , , and . IEEE ACM Trans. Comput. Biol. Bioinform., 19 (3): 1772-1781 (2022)UTU: Disease Mention Recognition and Normalization with CRFs and Vector Space Representations., , and . SemEval@COLING, page 807-811. The Association for Computer Linguistics, (2014)Evaluating Large-scale Text Mining Applications Beyond the Traditional Numeric Performance Measures., , , and . BioNLP@ACL, page 63-71. Association for Computational Linguistics, (2013)Wide-scope biomedical named entity recognition and normalization with CRFs, fuzzy matching and character level modeling., , , , and . Database J. Biol. Databases Curation, (2018)