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Structural knowledge-guided complex-noise handling for open intent classification.

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Bibliographic Details
Title: Structural knowledge-guided complex-noise handling for open intent classification.
Authors: Li Y; School of Computing and Artificial Intelligence, Southwestern University of Finance and Economics, Chengdu, 611130, China. Electronic address: yyhhliyanhua@163.com., Ouyang X; School of Computing and Artificial Intelligence, Southwestern University of Finance and Economics, Chengdu, 611130, China. Electronic address: oyxiaocao@swufe.edu.cn., Zhang J; School of Computing and Artificial Intelligence, Southwestern University of Finance and Economics, Chengdu, 611130, China. Electronic address: jiezhanglx@gmail.com., Pan C; School of Computing and Artificial Intelligence, Southwestern University of Finance and Economics, Chengdu, 611130, China. Electronic address: pan.chaofan@foxmail.com., Ren L; School of Computing and Artificial Intelligence, Southwestern University of Finance and Economics, Chengdu, 611130, China. Electronic address: renlf@swufe.edu.cn., Yang X; School of Computing and Artificial Intelligence, Southwestern University of Finance and Economics, Chengdu, 611130, China. Electronic address: yangxin@swufe.edu.cn.
Source: Neural networks : the official journal of the International Neural Network Society [Neural Netw] 2027 Jan; Vol. 205 (Pt C), pp. 109588. Date of Electronic Publication: 2026 Sep 05.
Publication Type: Journal Article
Journal Info: Publisher: Pergamon Press Country of Publication: United States NLM ID: 8805018 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-2782 (Electronic) Linking ISSN: 08936080 NLM ISO Abbreviation: Neural Netw Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1879-2782
DOI:10.1016/j.neunet.2026.109588