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Rev at SemEval-2016 Task 2: Aligning Chunks by Lexical, Part of Speech and Semantic Equivalence., , and . SemEval@NAACL-HLT, page 777-782. The Association for Computer Linguistics, (2016)High-precision biological event extraction with a concept recognizer., , , , , , , and . BioNLP@HLT-NAACL (Shared Task), page 50-58. Association for Computational Linguistics, (2009)Learning Biological Sequence Types Using the Literature., , and . CIKM, page 1991-1994. ACM, (2017)Generalizing an Approximate Subgraph Matching-based System to Extract Events in Molecular Biology and Cancer Genetics., , , , and . BioNLP@ACL (Shared Task), page 76-85. Association for Computational Linguistics, (2013)Text mining electronic hospital records to automatically classify admissions against disease: Measuring the impact of linking data sources., , , , , , , and . J. Biomed. Informatics, (2016)Search Effectiveness in Nonredundant Sequence Databases: Assessments and Solutions., , , , and . J. Comput. Biol., 26 (6): 605-617 (2019)SemEval-2017 Task 3: Community Question Answering., , , , , , and . CoRR, (2019)Representing annotation compositionality and provenance for the Semantic Web., , , and . J. Biomed. Semant., (2013)Special issue on bio-ontologies and phenotypes., , , , , , , and . J. Biomed. Semant., (2015)Literature mining of protein-residue associations with graph rules learned through distant supervision., , , , and . J. Biomed. Semant., 3 (S-3): S2 (2012)