Improving cross-document event coreference resolution by discourse coherence and structure

IF 7.4 1区 管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Xinyu Chen, Peifeng Li, Qiaoming Zhu
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引用次数: 0

Abstract

Cross-Document Event Coreference Resolution (CD-ECR) is to identify and cluster together event mentions that occur across multiple documents. Existing methods exhibit two limitations: (1) In contrast to within-document event mentions, which are linked by rich, coherent contexts, cross-document event mentions lack such contexts, posing a challenging for the model to understand the relation between two event mentions in different documents. (2) The lack of coherent textual information between cross-document event mentions lead to the inability to capture their global information, which is important to mine long-distance interactions between them. To tackle these issues, we propose a novel discourse coherence enhancement mechanism and introduce discourse structure to improve cross-document event coreference resolution. Specifically, we first introduce a new task: Event-oriented cross-document coherence enhancement (ECD-CoE), which selects coherent sentences that form a coherent text for two cross-document event mentions. Second, we represent the coherent text as a tree structure with rhetorical relation information between textual units. We then obtain the global interaction information of event mentions from the tree structures and finally resolve coreferent events. Experimental results on both the ECB+ and GVC datasets indicate that our proposed method outperforms several state-of-the-art baselines.
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来源期刊
Information Processing & Management
Information Processing & Management 工程技术-计算机:信息系统
CiteScore
17.00
自引率
11.60%
发文量
276
审稿时长
39 days
期刊介绍: Information Processing and Management is dedicated to publishing cutting-edge original research at the convergence of computing and information science. Our scope encompasses theory, methods, and applications across various domains, including advertising, business, health, information science, information technology marketing, and social computing. We aim to cater to the interests of both primary researchers and practitioners by offering an effective platform for the timely dissemination of advanced and topical issues in this interdisciplinary field. The journal places particular emphasis on original research articles, research survey articles, research method articles, and articles addressing critical applications of research. Join us in advancing knowledge and innovation at the intersection of computing and information science.
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