首页|Guangdong University of Foreign Studies Details Findings in Intelligent Systems (Chinese Named Entity Recognition Method Based On Multi-feature Fusion and Biaff ine)
Guangdong University of Foreign Studies Details Findings in Intelligent Systems (Chinese Named Entity Recognition Method Based On Multi-feature Fusion and Biaff ine)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing - Intelligent Systems have been published. According to news reporting from Guangdong, People’s Republic of China, by NewsRx journalists, research stated, “ Chinese Named Entity Recognition (CNER) focuses on precisely identifying predefi ned structural categories in unstructured Chinese text. Most existing CNER model s do not consider the unique glyph and pinyin features of Chinese characters, bu t the rich semantic features hidden behind these features have a good effect on enhancing the judgment ability of language models.”
GuangdongPeople's Republic of ChinaA siaIntelligent SystemsEmerging TechnologiesMachine LearningNamed Entity RecognitionGuangdong University of Foreign Studies
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