热爱
发表于 2025-3-21 16:55:04
书目名称Natural Language Processing and Information Systems影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0661838<br><br> <br><br>书目名称Natural Language Processing and Information Systems影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0661838<br><br> <br><br>书目名称Natural Language Processing and Information Systems网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0661838<br><br> <br><br>书目名称Natural Language Processing and Information Systems网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0661838<br><br> <br><br>书目名称Natural Language Processing and Information Systems被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0661838<br><br> <br><br>书目名称Natural Language Processing and Information Systems被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0661838<br><br> <br><br>书目名称Natural Language Processing and Information Systems年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0661838<br><br> <br><br>书目名称Natural Language Processing and Information Systems年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0661838<br><br> <br><br>书目名称Natural Language Processing and Information Systems读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0661838<br><br> <br><br>书目名称Natural Language Processing and Information Systems读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0661838<br><br> <br><br>
Surgeon
发表于 2025-3-21 20:37:22
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amyloid
发表于 2025-3-22 01:39:24
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Repetitions
发表于 2025-3-22 08:34:47
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GOAT
发表于 2025-3-22 11:21:56
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Diatribe
发表于 2025-3-22 14:24:27
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波动
发表于 2025-3-22 18:12:08
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V切开
发表于 2025-3-22 23:26:25
Revisiting the Past to Reinvent the Future: Topic Modeling with Single Mode Factorizationobtained using six contemporary techniques are compared with a factorization technique developed in the early sixties and a contemporary adaptation of it based on non-negative matrix factorization. Results on internal and external coherence as well as topic diversity suggest that extracting topics b
陈旧
发表于 2025-3-23 02:41:12
Active Few-Shot Learning with FASLxamples are needed to train models with good quality. This makes it challenging to quickly develop and deploy new models for real world problems and business needs. Few-shot learning and active learning are two lines of research, aimed at tackling this problem. In this work, we combine both lines in
Ascribe
发表于 2025-3-23 06:22:59
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