Zobrazeno 1 - 10
of 244
pro vyhledávání: '"Chinese Named Entity Recognition"'
Publikováno v:
Tongxin xuebao, Vol 45, Pp 171-183 (2024)
In the medical field, the recognition of medical entities is often influenced by their adjacent context, the current named entity recognition methods typically rely on BiLSTM to capture the global dependency relationships within text, lacking modelin
Externí odkaz:
https://doaj.org/article/94cff15525384f539632f2e6ff4ed162
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 5, Pp 6305-6318 (2024)
Abstract Chinese Named Entity Recognition (CNER) focuses on precisely identifying predefined structural categories in unstructured Chinese text. Most existing CNER models do not consider the unique glyph and pinyin features of Chinese characters, but
Externí odkaz:
https://doaj.org/article/f8f34243be5441abaa7d37c0e67380c9
Autor:
Guo, Yan a, Liu, Hong-Chen a, Liu, Fu-Jiang b, ⁎, Lin, Wei-Hua b, Shao, Quan-Sen a, Su, Jun-Shun c
Publikováno v:
In Journal of Electronic Science and Technology December 2024 22(4)
Autor:
Cheng Peng, Xiajun Wang, Qifeng Li, Qinyang Yu, Ruixiang Jiang, Weihong Ma, Wenbiao Wu, Rui Meng, Haiyan Li, Heju Huai, Shuyan Wang, Longjuan He
Publikováno v:
Applied Sciences, Vol 14, Iss 16, p 6944 (2024)
Named Entity Recognition (NER) is a fundamental and pivotal stage in the development of various knowledge-based support systems, including knowledge retrieval and question-answering systems. In the domain of pig diseases, Chinese NER models encounter
Externí odkaz:
https://doaj.org/article/bcd611d640624e73bf27e9f8d42571ba
Publikováno v:
International Journal of Web Information Systems, 2023, Vol. 19, Issue 1, pp. 42-60.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJWIS-04-2023-0070
Publikováno v:
Jisuanji kexue, Vol 50, Iss 3, Pp 276-281 (2023)
Compared with English text which is naturally composed of words,Chinese text has no word delimiters,so the combination of Chinese characters is more flexible,and it's more difficult to determine the entity boundaries in Chinese named entity recogniti
Externí odkaz:
https://doaj.org/article/83dcd8fdcaa949e5936e08747a86c86e
Publikováno v:
Journal of Intelligent Systems, Vol 32, Iss 1, Pp 167-76 (2023)
Named entity recognition (NER) is the localization and classification of entities with specific meanings in text data, usually used for applications such as relation extraction, question answering, etc. Chinese is a language with Chinese characters a
Externí odkaz:
https://doaj.org/article/8b137587371f4afda8b2ee0cec617fad
Publikováno v:
IEEE Access, Vol 11, Pp 128153-128161 (2023)
Compared with English Named Entity Recognition (NER), Chinese Named Entity Recognition (CNER) has a high difficulty in word segmentation, and accurate extraction of contextual semantic feature information is a key work of CNER. For that, we propose a
Externí odkaz:
https://doaj.org/article/e6abb4f189e34155b029e46f213ed7f0
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