Efficient Query-Specific Summarization of Text Documents - Chowdary, Ravindranath
32,99 €
inkl. MwSt.
Versandkostenfrei*
Versandfertig in 6-10 Tagen
payback
16 °P sammeln
  • Broschiertes Buch

The World Wide Web (WWW) contains a huge amount of information and more is being added to it constantly. Search engines retrieve a large amount of information in response to a query, from which, the user has to select some amount of information to satisfy her information need. Often, information is distributed over multiple web pages. It is a tedious task for the user to go through all the web pages to fulfill her need. In this context, a query specific text summarization would be of great help to the user. Query specific text summarization on multiple documents is more challenging than…mehr

Andere Kunden interessierten sich auch für
Produktbeschreibung
The World Wide Web (WWW) contains a huge amount of information and more is being added to it constantly. Search engines retrieve a large amount of information in response to a query, from which, the user has to select some amount of information to satisfy her information need. Often, information is distributed over multiple web pages. It is a tedious task for the user to go through all the web pages to fulfill her need. In this context, a query specific text summarization would be of great help to the user. Query specific text summarization on multiple documents is more challenging than summarization on single document. Issues like, ordering of sentences extracted from different documents, scalability, efficiency etc., will be there in multiple document summarization. All the multiple document summarizers in the literature concentrate on generating a summary that is informative. Very less or no emphasis was given to coherence and efficiency. This work exclusively deals with efficiency of the summarization task.
Autorenporträt
Ravindranath Chowdary C, holds B.E in Information Science andEngineering from MSRIT Bangalore and M.E in Computer Scienceand Engineering from UVCE, Bangalore. He pursued his PhD inthe area of Information Extraction at Indian Institute ofTechnology Madras in 2009. His research interests are InformationExtraction, NLP and Algorithms.