Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Lucas Ferro Antunes de Oliveira"'
Autor:
Claudia Maria Cabral Moro, Lucas Emanuel Silva e Oliveira, Yohan Bonescki Gumiel, Lucas Ferro Antunes de Oliveira, Deborah Ribeiro Carvalho
Publikováno v:
Research on Biomedical Engineering. 36:267-276
Natural language processing techniques are essential for unlocking patients’ data from electronic health records. An important NLP task is the ability to recognize morphosyntactic information from the texts, a process called part-of-speech (POS) ta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f13712ad973e0cfa9aa2d1d5ce10019
https://doi.org/10.1007/s42600-020-00067-7
https://doi.org/10.1007/s42600-020-00067-7
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030983048
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::066f163da64056649d3ce6b867c2d5f3
https://doi.org/10.1007/978-3-030-98305-5_9
https://doi.org/10.1007/978-3-030-98305-5_9
Autor:
Julien Knafou, Elisa Terumi Rubel Schneider, Emerson Cabrera Paraiso, Lucas Ferro Antunes de Oliveira, Jenny Copara, Douglas Teodoro, João Vitor Andrioli de Souza, Yohan Bonescki Gumiel, Lucas Emanuel Silva e Oliveira, Claudia Maria Cabral Moro Barra
Publikováno v:
ClinicalNLP@EMNLP
Proceedings of the 3rd Clinical Natural Language Processing Workshop pp. 65-72
Proceedings of the 3rd Clinical Natural Language Processing Workshop pp. 65-72
With the growing number of electronic health record data, clinical NLP tasks have become increasingly relevant to unlock valuable information from unstructured clinical text. Although the performance of downstream NLP tasks, such as named-entity reco
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::55b44f859509e35b921e79b70eb3eaa5
https://doi.org/10.18653/v1/2020.clinicalnlp-1.7
https://doi.org/10.18653/v1/2020.clinicalnlp-1.7