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Titlebook: Natural Language Processing and Chinese Computing; 13th National CCF Co Derek F. Wong,Zhongyu Wei,Muyun Yang Conference proceedings 2025 Th

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樓主: radionuclides
11#
發(fā)表于 2025-3-23 11:20:47 | 只看該作者
12#
發(fā)表于 2025-3-23 15:26:08 | 只看該作者
WConF: Weighted Contrastive Fusion for?Multimodal Sentiment Analysisective unimodal representations to facilitate multimodal fusion, which mainly contain two parts of information: modality-common and modality-specific information. However, previous work does not consider the sentiment span information between different samples during the fusion process. In this pape
13#
發(fā)表于 2025-3-23 21:44:20 | 只看該作者
14#
發(fā)表于 2025-3-24 00:44:17 | 只看該作者
15#
發(fā)表于 2025-3-24 04:04:59 | 只看該作者
Emotion Cause Extraction in?Conversations with?Response Graphing, that reflect the causes of a certain type of emotion embedded in a target utterance in the conversation history. Since conversations are interactions between individuals, where one responds to the content from other participants, it is crucial to identify the potential responsive relations among u
16#
發(fā)表于 2025-3-24 09:56:53 | 只看該作者
17#
發(fā)表于 2025-3-24 14:43:27 | 只看該作者
CETA: Context-Enhanced and Target-Aware Hateful Meme Inference Methodfor comprehensive reasoning. Though great efforts have been made, existing detection methods overlook the specific target of hateful meme, resulting in inadequate meme comprehension and hindering performance. In this paper, we propose Context-Enhanced and Target-Aware Hateful Meme Inference Method (
18#
發(fā)表于 2025-3-24 17:46:39 | 只看該作者
A Survey of?Zero-Shot Stance Detection Neither}. As an important research problem, reliance on high-quality annotated data poses a significant challenge. However, in the real world, with the rapid development of social media, it is impossible to annotate the massive amount of text on diverse topics, a universal framework for stance dete
19#
發(fā)表于 2025-3-24 20:50:16 | 只看該作者
20#
發(fā)表于 2025-3-24 23:11:50 | 只看該作者
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