粗略
发表于 2025-3-21 18:13:53
书目名称Computational Linguistics and Intelligent Text Processing影响因子(影响力)<br> http://impactfactor.cn/2024/if/?ISSN=BK0232595<br><br> <br><br>书目名称Computational Linguistics and Intelligent Text Processing影响因子(影响力)学科排名<br> http://impactfactor.cn/2024/ifr/?ISSN=BK0232595<br><br> <br><br>书目名称Computational Linguistics and Intelligent Text Processing网络公开度<br> http://impactfactor.cn/2024/at/?ISSN=BK0232595<br><br> <br><br>书目名称Computational Linguistics and Intelligent Text Processing网络公开度学科排名<br> http://impactfactor.cn/2024/atr/?ISSN=BK0232595<br><br> <br><br>书目名称Computational Linguistics and Intelligent Text Processing被引频次<br> http://impactfactor.cn/2024/tc/?ISSN=BK0232595<br><br> <br><br>书目名称Computational Linguistics and Intelligent Text Processing被引频次学科排名<br> http://impactfactor.cn/2024/tcr/?ISSN=BK0232595<br><br> <br><br>书目名称Computational Linguistics and Intelligent Text Processing年度引用<br> http://impactfactor.cn/2024/ii/?ISSN=BK0232595<br><br> <br><br>书目名称Computational Linguistics and Intelligent Text Processing年度引用学科排名<br> http://impactfactor.cn/2024/iir/?ISSN=BK0232595<br><br> <br><br>书目名称Computational Linguistics and Intelligent Text Processing读者反馈<br> http://impactfactor.cn/2024/5y/?ISSN=BK0232595<br><br> <br><br>书目名称Computational Linguistics and Intelligent Text Processing读者反馈学科排名<br> http://impactfactor.cn/2024/5yr/?ISSN=BK0232595<br><br> <br><br>
子女
发表于 2025-3-21 21:19:37
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没有准备
发表于 2025-3-22 02:03:37
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受辱
发表于 2025-3-22 08:07:28
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Archipelago
发表于 2025-3-22 11:36:10
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enflame
发表于 2025-3-22 15:36:59
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enflame
发表于 2025-3-22 18:57:34
Argumentation in Text: Discourse Structure Mattersicative discourse tree (CDT) is used. It consists of a discourse tree (DT) with additional labels on edges, which stand for verbs. These verbs represent communicative actions. Discourse trees are based on rhetoric relations, extracted from a text according to Rhetoric Structure Theory. The problem i
Acupressure
发表于 2025-3-22 21:57:16
A Deep Learning Approach for Multimodal Deception Detectionper, we propose a simple yet tough to beat multimodal neural model for deception detection. By combining features from different modalities such as video, audio, and text along with Micro-Expression features, we show that detecting deception in real life videos can be more accurate. Experimental res
Conclave
发表于 2025-3-23 02:44:18
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Analogy
发表于 2025-3-23 09:10:34
Analyzing Stylistic Variation Across Different Political Regimesulturally: communism and democracy in Romania. We aim to analyze the stylistic variation between texts written during these two periods, and determine at what levels the variation is more apparent (if any): at the stylistic level, at the topic level etc. We take a look at the stylistic profile of th