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Titlebook: Natural Language Processing and Chinese Computing; 12th National CCF Co Fei Liu,Nan Duan,Yu Hong Conference proceedings 2023 The Editor(s)

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發(fā)表于 2025-3-21 18:06:02 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Natural Language Processing and Chinese Computing
副標(biāo)題12th National CCF Co
編輯Fei Liu,Nan Duan,Yu Hong
視頻videohttp://file.papertrans.cn/662/661806/661806.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Natural Language Processing and Chinese Computing; 12th National CCF Co Fei Liu,Nan Duan,Yu Hong Conference proceedings 2023 The Editor(s)
描述.This three-volume set constitutes the refereed proceedings of the 12th National CCF Conference?on?Natural Language Processing and Chinese Computing, NLPCC 2023, held in Foshan, China,?during?October 12–15, 2023.. The ____ regular papers included in these proceedings were carefully reviewed and?selected from 478 submissions. They were organized in topical sections as follows: dialogue?systems; fundamentals of NLP; information?extraction and?knowledge?graph; machine?learning for NLP; machine?translation and?multilinguality; multimodality and?explainability;?NLP?applications and?text?mining; question?answering; large?language?models; summarization and?generation; student?workshop; and evaluation?workshop..
出版日期Conference proceedings 2023
關(guān)鍵詞Natural Language Processing; Chinese Computing; Intelligent applications; Big data; Business intelligenc
版次1
doihttps://doi.org/10.1007/978-3-031-44696-2
isbn_softcover978-3-031-44695-5
isbn_ebook978-3-031-44696-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Natural Language Processing and Chinese Computing978-3-031-44696-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/n/image/661806.jpg
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0302-9743 ining; question?answering; large?language?models; summarization and?generation; student?workshop; and evaluation?workshop..978-3-031-44695-5978-3-031-44696-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Joint Cross-Domain and?Cross-Lingual Adaptation for?Chinese Opinion Element Extractionrectly. Finally, we design a uniform architecture to incorporate cross-domain and cross-lingual transfer jointly. Experimental results demonstrate that cross-domain and cross-lingual transfers can both deliver impressive performance, and their combination can increase the performance even further.
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