Paper: Towards an Iterative Reinforcement Approach for Simultaneous Document Summarization and Keyword Extraction

ACL ID P07-1070
Title Towards an Iterative Reinforcement Approach for Simultaneous Document Summarization and Keyword Extraction
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2007
Authors

Though both document summarization and keyword extraction aim to extract concise representations from documents, these two tasks have usually been investigated inde- pendently. This paper proposes a novel it- erative reinforcement approach to simulta- neously extracting summary and keywords from single document under the assump- tion 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 key- words by fusing three kinds of relation- ships between sentences and words, either homogeneous or heterogeneous. Experi- mental results show the effectiveness of the proposed approach for both tasks. The cor- pus-based approach is validated to work almost as well as the knowledge-based ap- proach for comp...