2015-11-17
CWI and TU Delft at the TREC 2015 Temporal Summarization Track
Publication
Publication
Presented at the
24th Text REtrieval Conference, TREC 2015 (November 2015), Gaithersburg, MD, USA
Internet users are turning more frequently to online news as a replacement for traditional media sources such as newspapers or television shows. Still, discovering news events online and follow- ing them as they develop can be a difficult task. In previous work, we presented a novel approach to extract sentences from an online stream of news articles that summarizes the most important news facts for a given ad-hoc information need, which compared to ex- isting systems obtained relatively high-precision results and a com- parable recall [9]. In this track, we experiment with this approach to improve the recall of retrieved results.
| Additional Metadata | |
|---|---|
| Text REtrieval Conference | |
| 24th Text REtrieval Conference, TREC 2015 | |
| Organisation | Human-Centered Data Analytics |
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Vuurens, J., & de Vries, A. (2015). CWI and TU Delft at the TREC 2015 Temporal Summarization Track. In Proceedings of the 24th Text REtrieval Conference, TREC 2015. |
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