Knowledge Commons of Institute of Automation,CAS
A Multi-level Semantic Fusion Approach for News Reprint Pattern Detection | |
Linzi Wang![]() ![]() ![]() ![]() ![]() | |
2021-07 | |
会议名称 | 2021 International Joint Conference on Neural Networks (IJCNN) |
会议日期 | 18-22 July 2021 |
会议地点 | Shenzhen, China |
摘要 | News reprint analysis is gradually becoming a hot research topic. Most existing studies in news reprint analysis mainly focus on mining news reprint relations, there is little study exploring the detection of the patterns of news reprint yet. To fill this gap, we aim to identify news reprint patterns such as word variant, sentence conversion, and topic restatement, which can provide deep insights into the news propagation mechanism. The challenge of this question lies in how to dig domain information and obtain the deep semantic representation of news to discover the writing styles of various reprint patterns. This paper proposes a media domain information-driven multi-level semantic fusion (MDID-MLSF) approach. It simultaneously considers news media information and extracts word-sentence-paragraph-level news semantic information by the interactive matching mechanism. Specifically, Word Mover's Distance (WMD) algorithm and Multilayer Perceptron (MLP) are employed to obtain semantic information at the word level and sentence level. Then, the model utilizes attention-based hierarchical Bi-LSTM to obtain the paragraph level semantic information. Finally, news media information and different levels' semantic information are jointly modeled to detect the patterns of news reprint. We empirically evaluate the performance of the proposed model on a real-world dataset, the experimental results demonstrate the efficacy of the model. |
七大方向——子方向分类 | 社会计算 |
国重实验室规划方向分类 | 社会系统建模与计算 |
是否有论文关联数据集需要存交 | 否 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/51857 |
专题 | 舆论大数据科学与技术应用联合实验室 多模态人工智能系统全国重点实验室_互联网大数据与信息安全 |
通讯作者 | Qiudan Li |
作者单位 | 1.Institute of Automation, Chinese Academy of Sciences; School of Artificial Intelligence, University of Chinese Academy of Sciences 2.Institute of Automation, Chinese Academy of Sciences; School of Artificial Intelligence, University of Chinese Academy of Sciences 3.Institute of Automation, Chinese Academy of Sciences 4.Beijing Wenge Technology Co., Ltd. 5.Institute of Automation, Chinese Academy of Sciences; School of Artificial Intelligence, University of Chinese Academy of Sciences |
推荐引用方式 GB/T 7714 | Linzi Wang,Riheng Yao,Qiudan Li,et al. A Multi-level Semantic Fusion Approach for News Reprint Pattern Detection[C],2021. |
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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
A_Multi-level_Semant(1254KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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