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http://dx.doi.org/10.6109/jkiice.2011.15.7.1517

Query-based Document Summarization using Pseudo Relevance Feedback based on Semantic Features and WordNet  

Kim, Chul-Won (호남대학교 컴퓨터공학과)
Park, Sun (목포대학교 정보산업연구소)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.15, no.7, 2011 , pp. 1517-1524 More about this Journal
Abstract
In this paper, a new document summarization method, which uses the semantic features and the pseudo relevance feedback (PRF) by using WordNet, is introduced to extract meaningful sentences relevant to a user query. The proposed method can improve the quality of document summaries because the inherent semantic of the documents are well reflected by the semantic feature from NMF. In addition, it uses the PRF by the semantic features and WordNet to reduce the semantic gap between the high level user's requirement and the low level vector representation. The experimental results demonstrate that the proposed method achieves better performance that the other methods.
Keywords
Query-based document summarization; pseudo relevance feedback; WordNet; semantic features; non-negative matrix factorization;
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