An Incremental Summary Generation System

Huge amount of information is present in the World Wide Web and a large amount is being added to it frequently. A query-specific summary of multiple documents is very helpful to the user in this context. Currently, few systems have been proposed for queryspecific, extractive multi-document summarization. If a summary is available for a set of documents on a given query and if a new document is added to the corpus, generating an updated summary from the scratch is time consuming and many a times it is not practical/possible. In this paper we propose a solution to this problem. The algorithm finds pair of sentences, one from the current summary and other from the new document, that are to be swapped to improve the quality of the summary. For a given query, quality of a summary is determined by its informativeness, coherence and completeness. We propose a scoring function that captures these features to calculate the quality of a summary. The process of updating/improving summary is cont...

• Type: Conference
• Year: 2008
• Where: COMAD
• Authors: C. Ravindranath Chowdary, P. Sreenivasa Kumar
• Keywords: COMAD 2008, Extractive Multi-document Summarization, Knowledge Management, Query-specific Summary, Summary