Maculate 发表于 2025-3-21 16:42:51
书目名称Natural Language Processing and Chinese Computing影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0661818<br><br> <br><br>书目名称Natural Language Processing and Chinese Computing影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0661818<br><br> <br><br>书目名称Natural Language Processing and Chinese Computing网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0661818<br><br> <br><br>书目名称Natural Language Processing and Chinese Computing网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0661818<br><br> <br><br>书目名称Natural Language Processing and Chinese Computing被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0661818<br><br> <br><br>书目名称Natural Language Processing and Chinese Computing被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0661818<br><br> <br><br>书目名称Natural Language Processing and Chinese Computing年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0661818<br><br> <br><br>书目名称Natural Language Processing and Chinese Computing年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0661818<br><br> <br><br>书目名称Natural Language Processing and Chinese Computing读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0661818<br><br> <br><br>书目名称Natural Language Processing and Chinese Computing读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0661818<br><br> <br><br>怕失去钱 发表于 2025-3-21 20:45:12
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Conference proceedings 2023NLPCC 2023, held in Foshan, China, during October 12–15, 2023.. The 143 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 knowle影响 发表于 2025-3-22 13:35:00
0302-9743 omputing, NLPCC 2023, held in Foshan, China, during October 12–15, 2023.. The 143 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嫌恶 发表于 2025-3-22 20:17:59
CrossDial: An Entertaining Dialogue Dataset of Chinese Crosstalkte the ability of current dialogue generation models in the field of crosstalk generation. The experiment results and case studies demonstrate that crosstalk generation is challenging for straightforward methods and remains an interesting topic for future works.洁净 发表于 2025-3-22 21:55:17
Conference proceedings 2023dge 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..bronchodilator 发表于 2025-3-23 01:54:44
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