Paper: Query-Focused Summaries or Query-Biased Summaries?

ACL ID P09-2027
Title Query-Focused Summaries or Query-Biased Summaries?
Venue Annual Meeting of the Association of Computational Linguistics
Session Short Paper
Year 2009

In the context of the Document Understand- ing Conferences, the task of Query-Focused Multi-DocumentSummarizationisintendedto improve agreement in content among human- generated model summaries. Query-focus also aids the automated summarizers in directing the summary at specific topics, which may re- sult in better agreement with these model sum- maries. However, while query focus corre- lates with performance, we show that high- performing automatic systems produce sum- maries with disproportionally higher query term density than human summarizers do. Ex- perimental evidence suggests that automatic systems heavily rely on query term occurrence and repetition to achieve good performance.