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A Corpus with Multi-Level Annotations of Patients, Interventions and Outcomes to Support Language Processing for Medical Literature.

, , , , , , и . ACL (1), стр. 197-207. Association for Computational Linguistics, (2018)

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Extracting PICO Sentences from Clinical Trial Reports using Supervised Distant Supervision., , , , и . J. Mach. Learn. Res., (2016)Spá: A Web-Based Viewer for Text Mining in Evidence Based Medicine., , , и . ECML/PKDD (3), том 8726 из Lecture Notes in Computer Science, стр. 452-455. Springer, (2014)Automatically Summarizing Evidence from Clinical Trials: A Prototype Highlighting Current Challenges., , , и . EACL (System Demonstrations), стр. 236-247. Association for Computational Linguistics, (2023)Syntactic Patterns Improve Information Extraction for Medical Search., , , , и . NAACL-HLT (2), стр. 371-377. Association for Computational Linguistics, (2018)Structured Multi-Label Biomedical Text Tagging via Attentive Neural Tree Decoding., , , , и . EMNLP, стр. 2837-2842. Association for Computational Linguistics, (2018)Automating Biomedical Evidence Synthesis: RobotReviewer., , , и . ACL (System Demonstrations), стр. 7-12. Association for Computational Linguistics, (2017)Automating Risk of Bias Assessment for Clinical Trials., , и . IEEE J. Biomed. Health Informatics, 19 (4): 1406-1412 (2015)Crowdsourcing Information Extraction for Biomedical Systematic Reviews., , , , , , и . CoRR, (2016)Machine learning to help researchers evaluate biases in clinical trials: a prospective, randomized user study., , , , , и . BMC Medical Informatics Decis. Mak., 19 (1): 96:1-96:12 (2019)A Neural Candidate-Selector Architecture for Automatic Structured Clinical Text Annotation., , , , и . CIKM, стр. 1519-1528. ACM, (2017)