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The Use of MMR, Diversity-Based Reranking for Reordering Documents and Producing Summaries (1998)
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| Venue: | In Research and Development in Information Retrieval |
| Citations: | 752 - 13 self |
BibTeX
@INPROCEEDINGS{Carbonell98theuse,
author = {Jaime Carbonell and Jade Goldstein},
title = {The Use of MMR, Diversity-Based Reranking for Reordering Documents and Producing Summaries},
booktitle = {In Research and Development in Information Retrieval},
year = {1998},
pages = {335--336}
}
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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...
Keyphrases
diversity-based reranking text summarization mmr result conventional ir system rank summarization system re-ranking retrieved document online information summac conference text retrieval single document summarization recent result appropriate passage maximal marginal relevance non-redundant multi-document summary non-mmr passage selection query relevance mmr diversity preliminary result assimilate document improved mechanism document retrieval
