Efficient Query-Specific Summarization of Text Documents: Unstructured Text

Chowdary, Ravindranath

ISBN 10: 3843382786 / ISBN 13: 9783843382786

Edité par LAP LAMBERT Academic Publishing, 2010

A propos de cet article

New.

N° de réf. du vendeur ERICA82938433827866

Détails bibliographiques

• Titre: Efficient Query-Specific Summarization of Text Documents: Unstructured Text
• Éditeur: LAP LAMBERT Academic Publishing
• Date de parution: 2010
• Langue: anglais
• ISBN à 10 chiffres: 3843382786
• ISBN à 13 chiffres: 9783843382786
• Reliure: paperback
• État de l'article: New
• Type de livre: book

A propos de ce titre

Synopsis

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.

À propos de l?auteur

Ravindranath Chowdary C, holds B.E in Information Science and Engineering from MSRIT Bangalore and M.E in Computer Science and Engineering from UVCE, Bangalore. He pursued his PhD in the area of Information Extraction at Indian Institute of Technology Madras in 2009. His research interests are Information Extraction, NLP and Algorithms.