Approaches To Summarize Multi Documents Using Information Extraction

No one has time to read everything, yet we often have to make critical decisions based on what we are able to understand. With summaries, we can make effective decisions in less time. Thus the technology of automatic text summarization is becoming essential to deal with the problem of information overload. Text summarization is the process of extracting the most important information from a single document or from a set of documents to produce a short and information rich summary for a particular user or task. Multi-document summarization is an automatic procedure for extraction of information from multiple texts about the same topic. Most of the MDS systems have been based on an extraction method, which identifies key textual segments (e.g., sentences or paragraphs) in source documents and selects them for the summary. Multi-document summarization aims to distill the most important information from a set of documents to generate a compressed summary. In this paper we are introducing various approaches for multi document summarization using information extraction. (Hari Om Sharan, Rajeev Kumar, Garima Singh, Mohammad Haroon. Approaches To Summarize Multi Documents Using Information Extraction. Academia Arena. 2011;3(7):62-67) (ISSN 1553-992X). http://www.sciencepub.net.