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A Text Mining Pipeline Using Active and Deep Learning Aimed at Curating Information in Computational Neuroscience.

, , , , , , and . Neuroinformatics, 17 (3): 391-406 (2019)

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A Statistical Study of Words Used in Chinese Clinical Documents., and . AMIA, AMIA, (2014)Lexical Characteristics Analysis of Chinese Clinical Documents., , and . BioNLP@IJCNLP, page 114-120. Association for Computational Linguistics, (2015)Automatic Knowledge Extraction and Data Mining from Echo Reports of Pediatric Heart Disease: Application on Clinical Decision Support., , , , , , and . CCL, volume 9427 of Lecture Notes in Computer Science, page 417-424. Springer, (2015)Development and evaluation of task-specific NLP framework in China., , , , , , and . MedInfo, volume 216 of Studies in Health Technology and Informatics, page 1031. IOS Press, (2015)Cross-Modal Contrastive Learning for Event Extraction., , , , , and . DASFAA (3), volume 13945 of Lecture Notes in Computer Science, page 699-715. Springer, (2023)A Text Mining Pipeline Using Active and Deep Learning Aimed at Curating Information in Computational Neuroscience., , , , , , and . Neuroinformatics, 17 (3): 391-406 (2019)A Neural Layered Model for Nested Named Entity Recognition., , and . NAACL-HLT, page 1446-1459. Association for Computational Linguistics, (2018)Leveraging Multiple Types of Domain Knowledge for Safe and Effective Drug Recommendation., , , , , , , , , and . CIKM, page 2169-2178. ACM, (2022)Prompt Combines Paraphrase: Teaching Pre-trained Models to Understand Rare Biomedical Words., , , , , , , , , and . COLING, page 1422-1431. International Committee on Computational Linguistics, (2022)Neural named entity recognition and temporal relation extraction. University of Manchester, UK, (2020)British Library, EThOS.