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The Use of MMR, Diversity-Based Reranking for Reordering Documents and Producing Summaries (1998) [203 citations — 7 self]

by Jaime Carbonell ,  Jade Goldstein
In Research and Development in Information Retrieval
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Abstract:

This paper presents a method for combining query-relevance 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 re-ranking retrieved documents and in selecting appropriate passages for text summarization. Preliminary results indicate some benefits for MMR diversity ranking in document retrieval and in single document summarization. The latter are borne out by the recent results of the SUMMAC conference in the evaluation of summarization systems. However, the clearest advantage is demonstrated in constructing non-redundant multi-document summaries, where MMR results are clearly superior to non-MMR passage selection. 1 Introduction With the continuing growth of online information, it has become increasingly important to provide improved mechanisms to find information quickly. Conventional IR systems rank and assimilate documents based on maximizing re...

Citations

988 Automatic Text Processing: The Transformation, Analysis and Retrieval of Information by Computer – Salton - 1989
341 The Automatic Creation of Literature Abstracts – Luhn - 1958
259 A trainable document summarizer – Kupiec, Pedersen, et al. - 1995
142 Implementation of the SMART information retrieval system – Buckley - 1485
15 Automated query-relevant summarization and diversity-based reranking – Carbonell, Geng, et al. - 1997