OBESE 发表于 2025-3-21 19:20:06
书目名称Document Analysis and Recognition - ICDAR 2023影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0282305<br><br> <br><br>书目名称Document Analysis and Recognition - ICDAR 2023影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0282305<br><br> <br><br>书目名称Document Analysis and Recognition - ICDAR 2023网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0282305<br><br> <br><br>书目名称Document Analysis and Recognition - ICDAR 2023网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0282305<br><br> <br><br>书目名称Document Analysis and Recognition - ICDAR 2023被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0282305<br><br> <br><br>书目名称Document Analysis and Recognition - ICDAR 2023被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0282305<br><br> <br><br>书目名称Document Analysis and Recognition - ICDAR 2023年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0282305<br><br> <br><br>书目名称Document Analysis and Recognition - ICDAR 2023年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0282305<br><br> <br><br>书目名称Document Analysis and Recognition - ICDAR 2023读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0282305<br><br> <br><br>书目名称Document Analysis and Recognition - ICDAR 2023读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0282305<br><br> <br><br>encomiast 发表于 2025-3-21 21:12:15
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Modul 1: Prävention und Selbstpflegeon in code-mixed language. Each post in . dataset is annotated with four labels, i.e., ., i.e., which phrases are being responsible for annotating the post as a bully. The proposed multitask framework (mExCB) based on CNN and GRU with word and sub-sentence (SS) level attention is able to outperform强所 发表于 2025-3-22 20:24:57
Vittoria Borsò,Vera Elisabeth Gerling performance of a regression-based language model that could help to study the transfer learning from natural language processing (NLP) methods to boost the performance of existing fraud detection systems.改进 发表于 2025-3-22 23:53:48
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Muslimische Religiosität als Prozessdicting adjacent fields. Additionally, we propose a similarity module based on contrastive learning to address the problem of content diversity. Our method requires only text inputs, has fewer parameters, but still achieves comparable results with state-of-the-art methods on the document KIE task.Confidential 发表于 2025-3-23 05:44:56
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