Mingwen Bi1, Hefei Chen2,*, Zhenghong Yang3,*
CMC-Computers, Materials & Continua, Vol.83, No.1, pp. 861-876, 2025, DOI:10.32604/cmc.2025.060517
- 26 March 2025
Abstract Entity relation extraction, a fundamental and essential task in natural language processing (NLP), has garnered significant attention over an extended period., aiming to extract the core of semantic knowledge from unstructured text, i.e., entities and the relations between them. At present, the main dilemma of Chinese entity relation extraction research lies in nested entities, relation overlap, and lack of entity relation interaction. This dilemma is particularly prominent in complex knowledge extraction tasks with high-density knowledge, imprecise syntactic structure, and lack of semantic roles. To address these challenges, this paper presents an innovative “character-level” Chinese part-of-speech… More >
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