Next-Generation Summarization: Contrastive, Focused, and Update Summaries


Title | Next-Generation Summarization: Contrastive, Focused, and Update Summaries |
Publication Type | Conference Paper |
Year of Publication | 2007 |
Authors | Witte, R., and S. Bergler |
Refereed Designation | Refereed |
Conference Name | International Conference on Recent Advances in Natural Language Processing (RANLP 2007) |
Date Published | September 27–29 |
Conference Location | Borovets, Bulgaria |
Abstract | Classical multi-document summaries focus on the common topics of a document set and omit distinctive themes particular to a single document—thereby often suppressing precisely that kind of information a user might need for a specific task. This can be avoided through advanced multi-document summaries that take a user's context and history into account, by delivering focused, contrastive, or update summaries. To facilitate the generation of these different summaries, we propose to generate all types from a single data structure, topic clusters, which provide for an abstract representation of a set of documents. Evaluations carried out on five years' worth of data from the DUC summarization competition prove the feasibility of this approach. |
URL | http://rene-witte.net/next-generation-summarization |
Copyright | Copyright © 2007 René Witte and Sabine Bergler |
Attachment | Size |
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157_witte.pdf | 280.98 KB |
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