Approaches to passage retrieval in full text information systems
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
Automatic condensation of electronic publications by sentence selection
Information Processing and Management: an International Journal - Special issue: summarizing text
Term-weighting approaches in automatic text retrieval
Readings in information retrieval
Advantages of query biased summaries in information retrieval
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Advances in Automatic Text Summarization
Advances in Automatic Text Summarization
Lexical cohesion computed by thesaural relations as an indicator of the structure of text
Computational Linguistics
Support System for Creative Activity by Information Acquirement through Internet
Proceedings of the Joint JSAI 2001 Workshop on New Frontiers in Artificial Intelligence
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The many resources on the World Wide Web have made it natural for us to extract available information from them. In order to get useful information, it is desirable to review many sources. Though summaries are useful, documents contain various viewpoints that should be summarized. Therefore, if the viewpoint of a summary is different from the user's, the user cannot grasp the contents of the document correctly, and the user has to read through the document to the end. In this paper, we present a system that summarizes a document based on a user's viewpoint according to the user's search keywords.