CWI and TU Delft at the TREC 2015 Temporal Summarization Track

Internet users are turning more frequently to online news as a \nreplacement for traditional media sources such as newspapers or \ntelevision shows. Still, discovering news events online and follow- \ning them as they develop can be a difficult task. In previous work, \nwe presented a novel approach to extract sentences from an online \nstream of news articles that summarizes the most important news \nfacts for a given ad-hoc information need, which compared to ex- \nisting systems obtained relatively high-precision results and a com- \nparable recall [9]. In this track, we experiment with this approach \nto improve the recall of retrieved results