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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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Wide-scope biomedical named entity recognition and normalization with CRFs, fuzzy matching and character level modeling., , , , and . Database J. Biol. Databases Curation, (2018)Biomedical Named Entity Recognition with Multilingual BERT., and . BioNLP-OST@EMNLP-IJNCLP, page 56-61. Association for Computational Linguistics, (2019)EVEX in ST'13: Application of a large-scale text mining resource to event extraction and network construction., , , , and . BioNLP@ACL (Shared Task), page 26-34. Association for Computational Linguistics, (2013)Combining supervised and unsupervised named entity recognition to detect psychosocial risk factors in occupational health checks., , , , and . Int. J. Medical Informatics, (2022)End-to-End System for Bacteria Habitat Extraction., , , , , and . BioNLP, page 80-90. Association for Computational Linguistics, (2017)Filtering large-scale event collections using a combination of supervised and unsupervised learning for event trigger classification., , , and . J. Biomed. Semant., (2016)UTU: Disease Mention Recognition and Normalization with CRFs and Vector Space Representations., , and . SemEval@COLING, page 807-811. The Association for Computer Linguistics, (2014)UTU: Adapting Biomedical Event Extraction System to Disorder Attribute Detection.. SemEval@NAACL-HLT, page 375-379. The Association for Computer Linguistics, (2015)Supporting the use of standardized nursing terminologies with automatic subject heading prediction: a comparison of sentence-level text classification methods., , , , , , and . J. Am. Medical Informatics Assoc., 27 (1): 81-88 (2020)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)