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

威风

书目名称Natural Language Processing and Chinese Computing影响因子(影响力)




书目名称Natural Language Processing and Chinese Computing影响因子(影响力)学科排名




书目名称Natural Language Processing and Chinese Computing网络公开度




书目名称Natural Language Processing and Chinese Computing网络公开度学科排名




书目名称Natural Language Processing and Chinese Computing被引频次




书目名称Natural Language Processing and Chinese Computing被引频次学科排名




书目名称Natural Language Processing and Chinese Computing年度引用




书目名称Natural Language Processing and Chinese Computing年度引用学科排名




书目名称Natural Language Processing and Chinese Computing读者反馈




书目名称Natural Language Processing and Chinese Computing读者反馈学科排名

GLADE

https://doi.org/10.1007/978-981-97-9431-7Information extraction; Machine translation; Discourse, dialogue and pragmatics; Natural language gener

amphibian

MIRTH

ellagic-acid

串通

Learning to Generate Style-Specific Adapters for Stylized Dialogue Generatione systems. However, a major challenge to this task is the paucity of supervised data, resulting in suboptimal performance. Although some unsupervised methods have emerged, they tend to handle only a limited range of dialogue styles simultaneously. Retraining becomes necessary when new dialogue style

车床

裹住

Multi-hop Reading Comprehension Model Based on Abstract Meaning Representation and Multi-task Joint ing supporting facts from multiple paragraphs in the document and reasoning to get the answer. But some problems have not been well solved: during the process of extracting the answer, it is often disturbed by the non-real answer (i.e. similar answer) in the document; the lack of a related expressio

蹒跚

Leveraging Large Language Models for QA Dialogue Dataset Construction and Analysis in Public ServiceI) context. Existing datasets often lack the necessary interactive features for effective and efficient interactions, hindering the development of customized and emotionally responsive systems. As public service demands become more diverse and complex in HRI, traditional datasets fail to support hig

ENNUI