From post

SINAI at LivingNER Shared Task 2022: Species Mention Recognition and Normalization Using Transfer Learning and String Matching Techniques.

, , , , , и . IberLEF@SEPLN, том 3202 из CEUR Workshop Proceedings, CEUR-WS.org, (2022)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

 

Другие публикации лиц с тем же именем

SINAI at CLEF eHealth 2018 Task 3. Using cTAKES to Remove Noise from Expanding Queries with Google., , , и . CLEF (Working Notes), том 2125 из CEUR Workshop Proceedings, CEUR-WS.org, (2018)SINAI at eHealth-KD Challenge 2020., , , , и . IberLEF@SEPLN, том 2664 из CEUR Workshop Proceedings, стр. 141-150. CEUR-WS.org, (2020)BERT Representations to Identify Professions and Employment Statuses in Health data., , , , и . IberLEF@SEPLN, том 2943 из CEUR Workshop Proceedings, стр. 758-769. CEUR-WS.org, (2021)Evaluation of large language models performance against humans for summarizing MRI knee radiology reports: A feasibility study., , , и . Int. J. Medical Informatics, (2024)Detection of unexpected findings in radiology reports: A comparative study of machine learning approaches., , , , , и . Expert Syst. Appl., (2020)CARES: A Corpus for classification of Spanish Radiological reports., , , , , , , и . Comput. Biol. Medicine, (марта 2023)Filtering and reranking using MetaMap named entities recognizer., , , и . TREC, том 500-331 из NIST Special Publication, National Institute of Standards and Technology (NIST), (2018)SINAI at CLEF 2022: Leveraging biomedical transformers to detect and normalize disease mentions., , , , , и . CLEF (Working Notes), том 3180 из CEUR Workshop Proceedings, стр. 265-273. CEUR-WS.org, (2022)Identifying professions & occupations in Health-related Social Media using Natural Language Processing., , , , и . SMM4H@NAACL-HLT, стр. 141-145. Association for Computational Linguistics, (2021)Using Machine Learning and Deep Learning Methods to Find Mentions of Adverse Drug Reactions in Social Media., , , и . SMM4H@ACL, стр. 102-106. Association for Computational Linguistics, (2019)