万圣节
发表于 2025-3-21 19:50:22
书目名称Chinese Computational Linguistics影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0225765<br><br> <br><br>书目名称Chinese Computational Linguistics影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0225765<br><br> <br><br>书目名称Chinese Computational Linguistics网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0225765<br><br> <br><br>书目名称Chinese Computational Linguistics网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0225765<br><br> <br><br>书目名称Chinese Computational Linguistics被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0225765<br><br> <br><br>书目名称Chinese Computational Linguistics被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0225765<br><br> <br><br>书目名称Chinese Computational Linguistics年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0225765<br><br> <br><br>书目名称Chinese Computational Linguistics年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0225765<br><br> <br><br>书目名称Chinese Computational Linguistics读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0225765<br><br> <br><br>书目名称Chinese Computational Linguistics读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0225765<br><br> <br><br>
anesthesia
发表于 2025-3-21 20:26:46
Learning on Structured Documents for Conditional Question Answeringined with LSD on massive unlabeled structured documents and is fine-tuned on labeled CQA dataset afterwards. To overcome the limitation of outputting answers with complex formats in CQA, we propose a pipeline that enables the generation of multiple answers and conditions. Experimental results on the
僵硬
发表于 2025-3-22 02:30:49
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提名
发表于 2025-3-22 05:18:47
Lexical Complexity Controlled Sentence Generation for Language Learningodels. To facilitate the research, we develop two datasets in English and Chinese respectively, on which extensive experiments are conducted. Experimental results show that our approach provides more precise control over lexical complexity, as well as better fluency and diversity.
investigate
发表于 2025-3-22 11:34:51
Improving Zero-Shot Cross-Lingual Dialogue State Tracking via Contrastive Learnings into a more refined language-invariant space. In addition, CLCL-DST uses a significance-based keyword extraction approach to select task-related words to build the bilingual dictionary for better cross-lingual positive examples. Experiment results on Multilingual WoZ 2.0 and parallel MultiWoZ 2.1
芭蕾舞女演员
发表于 2025-3-22 14:09:29
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芭蕾舞女演员
发表于 2025-3-22 19:33:27
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crockery
发表于 2025-3-22 21:27:49
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enlist
发表于 2025-3-23 03:58:16
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弯腰
发表于 2025-3-23 09:08:06
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