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High-precision biological event extraction with a concept recognizer.

, , , , , , , and . BioNLP@HLT-NAACL (Shared Task), page 50-58. Association for Computational Linguistics, (2009)

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Concept recognition as a machine translation problem., , , , and . BMC Bioinform., 22 (1): 598 (2021)Improving precision in concept normalization., , , and . PSB, page 566-577. (2018)Concept Recognition and the TREC Genomics Tasks., , , , , and . TREC, volume 500-266 of NIST Special Publication, National Institute of Standards and Technology (NIST), (2005)Concept Recognition, Information Retrieval, and Machine Learning in Genomics Question-Answering., , , , , , , , , and 1 other author(s). TREC, volume 500-272 of NIST Special Publication, National Institute of Standards and Technology (NIST), (2006)Fast and simple semantic class assignment for biomedical text., , , , and . BioNLP@ACL, page 38-45. Association for Computational Linguistics, (2011)Mining Protein-Protein Interactions from GeneRIFs with OpenDMAP., , , , and . BioLINK@ISMB/ECCB, volume 6004 of Lecture Notes in Computer Science, page 43-52. Springer, (2008)MutationFinder: a high-performance system for extracting point mutation mentions from text., , , , and . Bioinform., 23 (14): 1862-1865 (2007)Ontologizing Health Systems Data at Scale: Making Translational Discovery a Reality., , , , , , , , , and 21 other author(s). CoRR, (2022)A corpus of full-text journal articles is a robust evaluation tool for revealing differences in performance of biomedical natural language processing tools., , , , , , , , , and 5 other author(s). BMC Bioinform., (2012)OWL-NETS: Transforming OWL representations for improved network inference., , , , , , and . PSB, page 133-144. (2018)