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A comparison of word embeddings for the biomedical natural language processing.

, , , , , , , and . Journal of Biomedical Informatics, (2018)

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MedSTS: A Resource for Clinical Semantic Textual Similarity., , , , , , and . CoRR, (2018)UBham: Lexical Resources and Dependency Parsing for Aspect-Based Sentiment Analysis., , and . SemEval@COLING, page 683-687. The Association for Computer Linguistics, (2014)MayoNLP at SemEval-2016 Task 1: Semantic Textual Similarity based on Lexical Semantic Net and Deep Learning Semantic Model., , and . SemEval@NAACL-HLT, page 674-679. The Association for Computer Linguistics, (2016)BioCreative/OHNLP Challenge 2018., , , , , , , and . BCB, page 575. ACM, (2018)Identifying peripheral arterial disease cases using natural language processing of clinical notes., , , , , and . BHI, page 126-131. IEEE, (2016)Natural language processing of clinical notes for identification of critical limb ischemia., , , , , , , and . I. J. Medical Informatics, (2018)A comparison of word embeddings for the biomedical natural language processing., , , , , , , and . Journal of Biomedical Informatics, (2018)Unsupervised Relation Extraction Using Dependency Trees for Automatic Generation of Multiple-Choice Questions., , and . Canadian Conference on AI, volume 6657 of Lecture Notes in Computer Science, page 32-43. Springer, (2011)Automatic generation of multiple choice questions using dependency-based semantic relations., and . Soft Comput., 18 (7): 1269-1281 (2014)Clinical information extraction applications: A literature review., , , , , , , , , and 1 other author(s). Journal of Biomedical Informatics, (2018)