Multi-document summarization is an automatic procedure aimed at extraction of information from multiple texts written about the same topic. Resulting summary report allows individual users, so as professional information consumers, to quickly familiarize themselves with information contained in a large cluster of documents. In such a way, multi-document summarization systems are complementing the news aggregators performing the next step down the road of coping with information overload.
Multi-document summarization creates information reports that are both concise and comprehensive.With different opinions being put together & outlined, every topic is described from multiple perspectives within a single document.While the goal of a brief summary is to simplify information search and cut the time by pointing to the most relevant source documents, comprehensive multi-document summary should itself contain the required information, hence limiting the need for accessing original files to cases when refinement is required.Automatic summaries present information extracted from multiple sources algorithmically, without any editorial touch or subjective human intervention, thus making it completely unbiased.
The multi-document summarization task has turned out to be much more complex than summarizing a single document, even a very large one. This difficulty arises from inevitable thematic diversity within a large set of documents. A good... Read More