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Crowd control: Effectively utilizing unscreened crowd workers for biomedical data annotation.

, , , and . J. Biomed. Informatics, (2017)

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Paraphrase-Sense-Tagged Sentences., and . Trans. Assoc. Comput. Linguistics, (2019)Crowd control: Effectively utilizing unscreened crowd workers for biomedical data annotation., , , and . J. Biomed. Informatics, (2017)Effectively Crowdsourcing Radiology Report Annotations., , , , and . Louhi@EMNLP, page 109-114. Association for Computational Linguistics, (2015)Learning Scalar Adjective Intensity from Paraphrases., , , , and . EMNLP, page 1752-1762. Association for Computational Linguistics, (2018)Combining rule-based and neural network systems for extracting adverse reactions from drug labels., and . TAC, NIST, (2017)Clustering Paraphrases by Word Sense., and . HLT-NAACL, page 1463-1472. The Association for Computational Linguistics, (2016)Mapping the Paraphrase Database to WordNet., , and . *SEM, page 84-90. Association for Computational Linguistics, (2017)Automated Paraphrase Lattice Creation for HyTER Machine Translation Evaluation., , , and . NAACL-HLT (2), page 480-485. Association for Computational Linguistics, (2018)A Comparison of Context-sensitive Models for Lexical Substitution., , , and . IWCS (1), page 271-282. Association for Computational Linguistics, (2019)Radiology Report Text Classification with Automatically Generated Regular Expression Pattern Features., , and . CRI, AMIA, (2016)