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动态关系与事件发现

Dynamic Relationship and Event Discovery
课程网址: http://videolectures.net/wsdm2011_sarma_dre/  
主讲教师: Anish Das Sarma
开课单位: 雅虎公司
开课时间: 信息不详。欢迎您在右侧留言补充。
课程语种: 英语
中文简介:
本文研究动态关系和事件发现问题。以前关于关系提取的大量工作集中于发现实体之间预定义的和静态的关系。相反,我们的目标是识别现有模式没有预定义的临时定义的(例如,共爆)关系,并识别导致这些关系的底层时间约束事件。识别这些事件的关键挑战包括发现和验证实体之间的动态连接,以及将二进制动态连接合并到由一组在给定时间段内连接的实体组成的事件中。我们将这个问题形式化,并引入一个有效的端到端管道作为解决方案。特别地,我们引入了两个形式化的概念:全局时间约束聚类和局部时间约束聚类来检测动态事件。我们进一步设计了从动态关系的大图中发现此类事件的有效算法。最后,通过对实际数据的详细实验验证了该方法的有效性。
课程简介: This paper studies the problem of dynamic relationship and event discovery. A large body of previous work on relation extraction focuses on discovering predefined and static relationships between entities. In contrast, we aim to identify temporally defined (e.g., co-bursting) relationships that are not predefined by an existing schema, and we identify the underlying time constrained events that lead to these relationships. The key challenges in identifying such events include discovering and verifying dynamic connections among entities, and consolidating binary dynamic connections into events consisting of a set of entities that are connected at a given time period. We formalize this problem and introduce an efficient end-to-end pipeline as a solution. In particular, we introduce two formal notions, global temporal constraint cluster and local temporal constraint cluster, for detecting dynamic events. We further design efficient algorithms for discovering such events from a large graph of dynamic relationships. Finally, detailed experiments on real data show the effectiveness of our proposed solution.
关 键 词: 计算机科学; Web挖掘; 聚类
课程来源: 视频讲座网
最后编审: 2020-01-13:chenxin
阅读次数: 44