Zobrazeno 1 - 10
of 99
pro vyhledávání: '"Named Entities Recognition"'
Akademický článek
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Publikováno v:
BMC Bioinformatics, Vol 19, Iss S19, Pp 125-134 (2018)
Abstract Background The detection and interpretation of CNVs are of clinical importance in genetic testing. Several databases and web services are already being used by clinical geneticists to interpret the medical relevance of identified CNVs in pat
Externí odkaz:
https://doaj.org/article/0acf88c76c8345fdb79c9effe04e9058
Publikováno v:
Journal of Cheminformatics, Vol 10, Iss 1, Pp 1-10 (2018)
Abstract Chemical named entity recognition (NER) is an active field of research in biomedical natural language processing. To facilitate the development of new and superior chemical NER systems, BioCreative released the CHEMDNER corpus, an extensive
Externí odkaz:
https://doaj.org/article/bdb3e918a90a43abb6a1dab526f73aa6
We present Pandore, an online toolbox for pre- and post-processing of textual data. This freely accessible platform allows humanities students and researchers, with little or no prior knowledge of computer programming, to perform a series of importan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5521e47f52460bf713d509a91d524de9
Autor:
Albuquerque, Hidelberg O., Souza, Ellen, Gomes, Carlos, Pinto, Matheus Henrique de C., Filho, Ricardo P.S., Costa, Rosimeire, Lopes, Vinícius Teixeira de M., Silva, Nádia F.F. da, Carvalho, André C.P.L.F. de, Oliveira, Adriano L.I.
Named Entity Recognition (NER) is an important task in Natural Language Processing, as it is a key information extraction sub-task with numerous applications, such as information retrieval and machine learning. However, resources are still scarce for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______935::b8e88b4bc34c66a416bd20bdd0489326
https://hdl.handle.net/10045/133241
https://hdl.handle.net/10045/133241
Publikováno v:
Digital Humanities 2022 : Responding to Asian Diversity
Digital Humanities 2022 : Responding to Asian Diversity, ADHO; University of Tokyo, Jul 2022, Tokyo, Japan
Digital Humanities 2022 : Responding to Asian Diversity, ADHO; University of Tokyo, Jul 2022, Tokyo, Japan
International audience
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______165::7edfe2d97c4729e5eb96e2e5bc16c8c7
https://inria.hal.science/hal-03739767
https://inria.hal.science/hal-03739767
Akademický článek
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In the scope of the COST action “Distant Reading for European Literary History” (Schöch et al. 2021; Patras et al. 2021) the working group 2 (WG2) responsible for methods and tools suggested a set of seven named entity (NE) categories to be used
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______166::3c56d046b0dca0d5ddaf32b0fd0e42e8
https://hal.science/hal-03615219
https://hal.science/hal-03615219