NDLI: Do Summaries Help? A Task-Based Evaluation of Multi-Document Summarization (2005)

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Do Summaries Help? A Task-Based Evaluation of Multi-Document Summarization (2005)

Content Provider	CiteSeerX
Author	Hirschberg, Julia Nenkova, Ani Elson, David K. Passonneau, Rebecca J. Mckeown, Kathleen
Abstract	We describe a task-based evaluation to determine whether multi-document summaries measurably improve user performance when using online news browsing systems for directed research. We evaluated the multi-document summaries generated by Newsblaster, a robust news browsing system that clusters online news articles and summarizes multiple articles on each event. Four groups of subjects were asked to perform the same time-restricted fact-gathering tasks, reading news under different conditions: no summaries at all, single sentence summaries drawn from one of the articles, Newsblaster multi-document summaries, and human summaries. Our results show that, in comparison to source documents only, the quality of reports assembled using Newsblaster summaries was significantly better and user satisfaction was higher with both Newsblaster and human summaries.
File Format	PDF
Publisher Date	2005-01-01
Publisher Institution	In Proceedings of the ACM SIGIR Conference on Research and Development in Information Retrieval
Access Restriction	Open
Subject Keyword	Multi-document Summarization User Performance Summary Help Newsblaster Summary Newsblaster Multi-document Summary Online News Online News Article Time-restricted Fact-gathering Task Robust News Browsing System User Satisfaction Directed Research Multiple Article Multi-document Summary Task-based Evaluation Human Summary Source Document Different Condition Single Sentence Summary
Content Type	Text
Resource Type	Proceeding

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