Titlebook: Natural Language Processing and Chinese Computing; 13th National CCF Co Derek F. Wong,Zhongyu Wei,Muyun Yang Conference proceedings 2025 Th

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危險(xiǎn)

歡樂中國

Hierarchical Knowledge Aggregation for Personalized Response Generation in Dialogue Systemsition task to enhance the accurate modeling of structural information. The results of our experiments, conducted on the ConvAI2 and PersonalDialog datasets, demonstrate that HKA outperforms existing baselines in generating personalized responses.

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尖

Conference proceedings 2025inese Computing, NLPCC 2024, held in Hangzhou, China,?during?November 2024...The 161 full papers and 33 evaluation workshop papers included in these proceedings were carefully reviewed and selected from 451 submissions. They deal with the following areas: Fundamentals of?NLP; Information Extraction

記成螞蟻

危險(xiǎn)

CKF: Conditional Knowledge Fusion Method for?CommonSense Question Answeringnd, we design a conditional fusion module to .. To further improve performance, we design a re-attention mechanism to supplement PLM with commonsense knowledge. Experimental results demonstrate the superior effectiveness of CKF through considerable performance gains across three popular benchmark datasets.

gentle

證實(shí)

Learning to?Generate Style-Specific Adapters for?Stylized Dialogue Generationle-specific adapters for modeling both contexts and stylized responses. These style-specific adapters are generated by a hypernetwork trained on multiple stylized corpora. In addition, for unseen stylized texts, MultiSADG uses the stylized corpus to generate style-specific adapters through the hyper

sultry