Zobrazeno 1 - 10
of 12 349
pro vyhledávání: '"named-entity recognition"'
Autor:
Ali, Dilawar, Milleville, Kenzo, Verstockt, Steven, Van de Weghe, Nico, Chambers, Sally, Birkholz, Julie M.
Publikováno v:
Journal of Documentation, 2023, Vol. 80, Issue 5, pp. 1031-1056.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JD-01-2022-0029
Publikováno v:
Journal of Documentation, 2023, Vol. 80, Issue 5, pp. 1080-1105.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JD-02-2022-0038
Publikováno v:
Journal of Donghua University (English Edition); Oct2024, Vol. 41 Issue 5, p513-524, 12p
Autor:
Hui Zhao, Wenjun Xiong
Publikováno v:
Alexandria Engineering Journal, Vol 107, Iss , Pp 665-674 (2024)
Named Entity Recognition (NER) in Chinese Electronic Medical Records (EMRs) is crucial for enhancing healthcare quality and efficiency. However, the unique complexity of the Chinese language and the unstructured format of medical texts create signifi
Externí odkaz:
https://doaj.org/article/a91602c5a23b47fb863cd4108b091e82
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Social media data are characterized by significant noise and non-standardization, thereby posing challenges for existing methods in recognizing named entities owing to the entity sparsity and insufficient semantic richness. Thus, to deal wit
Externí odkaz:
https://doaj.org/article/f51329f6adcd495abf9561a307ca4a7d
Publikováno v:
Jisuanji kexue yu tansuo, Vol 18, Iss 11, Pp 2901-2911 (2024)
In order to efficiently construct a multimodal subject knowledge graph in the field of education, a textbook text entity relationship extraction algorithm based on large model knowledge distillation and multi-model collaborative reasoning is proposed
Externí odkaz:
https://doaj.org/article/609afd248aa24a4c947802e66d13d396
Publikováno v:
Jisuanji kexue yu tansuo, Vol 18, Iss 10, Pp 2594-2615 (2024)
Named entity recognition aims to identify named entities and their types from unstructured text, which is an important basic task in natural language processing technologies such as question answering system, machine translation and knowledge graph.
Externí odkaz:
https://doaj.org/article/dcd60d5fd19742ce904b16caa2031d09
Publikováno v:
International Journal of Crowd Science, Vol 8, Iss 3, Pp 140-148 (2024)
In recent years, great success has been achieved in many tasks of natural language processing (NLP), e.g., named entity recognition (NER), especially in the high-resource language, i.e., English, thanks in part to the considerable amount of labeled r
Externí odkaz:
https://doaj.org/article/81d5a7ca26fa4efbbe29919c44fd942c
Autor:
Zhou, Huiwei1 (AUTHOR) zhouhuiwei@dlut.edu.cn, Liu, Zhe1 (AUTHOR), Lang, Chengkun1 (AUTHOR), Xu, Yibin1 (AUTHOR), Lin, Yingyu2 (AUTHOR), Hou, Junjie3 (AUTHOR)
Publikováno v:
BMC Bioinformatics. 6/2/2021 Supplement 6, Vol. 22 Issue 6, p1-16. 16p.