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SIGIR
2010
ACM

Entity summarization of news articles

11 years 3 days ago
Entity summarization of news articles
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 entitylabeled 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. Categories and Subject Descriptors: H.3.3 [Information Storage and Retrieval]: Information Search and Retrieval General Terms: Algorithms, Measurement, Experimentation
Gianluca Demartini, Malik Muhammad Saad Missen, Ro
Added 06 Dec 2010
Updated 06 Dec 2010
Type Conference
Year 2010
Where SIGIR
Authors Gianluca Demartini, Malik Muhammad Saad Missen, Roi Blanco, Hugo Zaragoza
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