Abstract de la publi numéro 11821
Retrieving entities instead of just documents has become an
important task for search engines. In this paper we study
entity retrieval for news applications, and in particular the
importance of the news trail history (i.e., past related articles)
in determining the relevant entities in current articles.
This is an important problem in applications that display
retrieved entities to the user, together with the news article.
We analyze and discuss some statistics about entities in
news trails, unveiling some unknown ndings such as the
persistence of relevance over time. We focus on the task of
query dependent entity retrieval over time. For this task we
evaluate several features, and show that their combinations
signicantly improves performance.