A Novel Partitioning-Based Clustering Method and Generic Document Summarization
- 1 December 2006
- conference paper
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 626-629
- https://doi.org/10.1109/wi-iatw.2006.16
Abstract
This paper proposed the generic summarization method that extracts the most relevance sentences from the source document to form a summary. This method is based on clustering of sentences. The specificity of this approach is that the generated summary can contain the main contents of different topics as many as possible and reduce its redundancy at the same time. The clustering method satisfies as much homogeneity within each cluster as well as much separability between the clusters as possibleKeywords
This publication has 12 references indexed in Scilit:
- Effective Summarization Method of Text DocumentsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Web-page summarization using clickthrough dataPublished by Association for Computing Machinery (ACM) ,2005
- Text summarization using a trainable summarizer and latent semantic analysisInformation Processing & Management, 2005
- Web-page classification through summarizationPublished by Association for Computing Machinery (ACM) ,2004
- Generic text summarization using local and global properties of sentencesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2004
- Enhanced web document summarization using hyperlinksPublished by Association for Computing Machinery (ACM) ,2003
- Genetic Mining of HTML Structures for Effective Web-Document RetrievalApplied Intelligence, 2003
- Generic text summarization using relevance measure and latent semantic analysisPublished by Association for Computing Machinery (ACM) ,2001
- The challenges of automatic summarizationComputer, 2000
- The Automatic Creation of Literature AbstractsIBM Journal of Research and Development, 1958