The paper “Entity Summarization of News Articles” co-written by G. Demartini, M.M.S. Missen, R. Blanco and H. Zaragoza, has been presented at SIGIR 2010, in Geneva, Switzerland on July 19th-23rd, 2010 and published on ACM Digital Libraries
In this paper we study the problem of entity retrieval for news applications and the importance of the news trail history (i.e. past related articles) to determine the relevant entities in current articles. We construct a novel entity-labeled corpus with temporal information out of the TREC 2004 Novelty collection. We develop and evaluate several features, and show that an article’s history can be exploited to improve its summarization.
The LK project is funded by the European Commission under Project No. 231126