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Towards an Iterative Reinforcement Approach for Simultaneous Document Summarization and Keyword Extraction
2007
Annual Meeting of the Association for Computational Linguistics
Though both document summarization and keyword extraction aim to extract concise representations from documents, these two tasks have usually been investigated independently. This paper proposes a novel iterative reinforcement approach to simultaneously extracting summary and keywords from single document under the assumption that the summary and keywords of a document can be mutually boosted. The approach can naturally make full use of the reinforcement between sentences and keywords by fusing
dblp:conf/acl/WanYX07
fatcat:bqgax2lrbbgljbgj6mdwtgahja