Summarization

Jade Goldstein, Jaime Carbonell
1996 Proceedings of a workshop on held at Baltimore, Maryland October 13-15, 1998 -  
This paper 1 develops a method for combining queryrelevance with information-novelty in the context of text retrieval and summarization. The Maximal Marginal Relevance (MMR) criterion strives to reduce redundancy while maintaining query relevance in reranking retrieved documents and in selecting appropriate passages for text summarization. Preliminary results indicate some benefits for MMR diversity ranking in ad-hoc query and in single document summarization. The latter are borne out by the
more » ... al-run (unofficial) TREC-style evaluation of summarization systems. However, the clearest advantage is demonstrated in the automated construction of large document and non-redundant multi-document summaries, where MMR results are clearly superior to non-MMR passage selection. This paper also discusses our preliminary evaluation of summarization methods for single documents.
doi:10.3115/1119089.1119120 dblp:conf/tipster/GoldsteinC98 fatcat:kjgirip4ffewrhb6h4vtyzhz2e