Madison
发表于 2025-3-21 18:06:02
书目名称Natural Language Processing and Chinese Computing影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0661806<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=BK0661806<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=BK0661806<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=BK0661806<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=BK0661806<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=BK0661806<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=BK0661806<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=BK0661806<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=BK0661806<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=BK0661806<br><br> <br><br>
Mundane
发表于 2025-3-21 21:49:57
Natural Language Processing and Chinese Computing978-3-031-44696-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
Psa617
发表于 2025-3-22 02:18:31
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/n/image/661806.jpg
Indicative
发表于 2025-3-22 08:36:33
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挖掘
发表于 2025-3-22 08:45:48
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Affirm
发表于 2025-3-22 14:12:47
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Evolve
发表于 2025-3-22 18:33:44
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值得尊敬
发表于 2025-3-23 01:00:12
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
creditor
发表于 2025-3-23 04:19:27
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数量
发表于 2025-3-23 08:28:07
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.