bankrupt
发表于 2025-3-21 19:56:05
书目名称Experimental IR Meets Multilinguality, Multimodality, and Interaction影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0318854<br><br> <br><br>书目名称Experimental IR Meets Multilinguality, Multimodality, and Interaction影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0318854<br><br> <br><br>书目名称Experimental IR Meets Multilinguality, Multimodality, and Interaction网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0318854<br><br> <br><br>书目名称Experimental IR Meets Multilinguality, Multimodality, and Interaction网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0318854<br><br> <br><br>书目名称Experimental IR Meets Multilinguality, Multimodality, and Interaction被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0318854<br><br> <br><br>书目名称Experimental IR Meets Multilinguality, Multimodality, and Interaction被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0318854<br><br> <br><br>书目名称Experimental IR Meets Multilinguality, Multimodality, and Interaction年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0318854<br><br> <br><br>书目名称Experimental IR Meets Multilinguality, Multimodality, and Interaction年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0318854<br><br> <br><br>书目名称Experimental IR Meets Multilinguality, Multimodality, and Interaction读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0318854<br><br> <br><br>书目名称Experimental IR Meets Multilinguality, Multimodality, and Interaction读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0318854<br><br> <br><br>
subordinate
发表于 2025-3-22 00:07:00
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吹牛需要艺术
发表于 2025-3-22 01:07:38
Rhythmic and Psycholinguistic Features for Authorship Tasks in the Spanish Parliament: Evaluation anobtained by a BETO transformer, when the latter is trained on the original text, i.e., potentially learning from topical information. Moreover, we further investigate the results for the different authors, showing that variations in performance are partially explainable in terms of the authors’ poli
cringe
发表于 2025-3-22 05:17:03
The Impact of Pre-processing on the Performance of Automated Fake News Detectionand BERT pre-trained model. In addition to URLs, we analyzed the impact of different approaches for dealing with emojis and Twitter handles on the performance of the models. Our results show URLs could be good clues for identifying fake news, despite the fact that they are usually removed in pre-pro
gregarious
发表于 2025-3-22 09:42:29
An Analysis of Logic Rule Dissemination in Sentiment Classifiers the predictions of any classifier in an interpretable and faithful manner. Our experiments show that (a) accuracy is misleading in assessing these methods, (b) not all these methods are effectively capturing the . structure, (c) often, the underlying sequence model is what captures the syntactic st
Cocker
发表于 2025-3-22 14:55:51
Using Entities in Knowledge Graph Hierarchies to Classify Sensitive Informationtion method that models entities in a hierarchical structure, based on the underlying structure of Wikipedia, to generate a more informative representation of entities and their roles. Our experiments, on a test collection containing real-world sensitivities, show that our proposed approach results
Cocker
发表于 2025-3-22 19:54:10
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表示问
发表于 2025-3-23 00:03:27
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解脱
发表于 2025-3-23 04:37:54
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恃强凌弱
发表于 2025-3-23 06:11:40
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