标题：Summary Generation for Temporal Extractions
作者：Wang, Yafang; Ren, Zhaochun; Theobald, Martin; Dylla, Maximilian; de Melo, Gerard
作者机构：[Wang, Yafang] Shandong Univ, Jinan, Peoples R China.; [Ren, Zhaochun] Univ Amsterdam, Amsterdam, Netherlands.; [Theobald, Martin] Univ Ulm, Ulm, 更多
会议名称：27th International Conference on Database and Expert Systems Applications (DEXA)
会议日期：SEP 05-08, 2016
来源：DATABASE AND EXPERT SYSTEMS APPLICATIONS, DEXA 2016, PT I
关键词：Temporal information extraction; Knowledge harvesting; Summarization
摘要：Recent advances in knowledge harvesting have enabled us to collect large amounts of facts about entities from Web sources. A good portion of these facts have a temporal scope that, for example, allows us to concisely capture a person's biography. However, raw sets of facts are not well suited for presentation to human end users. This paper develops a novel abstraction-based method to summarize a set of facts into natural-language sentences. Our method distills temporal knowledge from Web documents and generates a concise summary according to a particular user's interest, such as, for example, a soccer player's career. Our experiments are conducted on biography-style Wikipedia pages, and the results demonstrate the good performance of our system in comparison to existing text-summarization methods.