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The task in Document Understanding Conferences (DUC1) 2005 is to generate fixed length, user oriented, multi document summary. Our approach to address this task is primarily motivated by the observation that metrics based on key concepts overlap give better results when compared to metrics based on n-gram and sentence overlap.

Added on November 11, 2010

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  • Product Type : Research Paper
  • License Type : Freeware
  • System Requirement : Not Applicable
  • Author : Jagadeesh J, Prasad Pingali, Vasudeva Varma

Named Entity Recognition (NER) is the task of identifying and classifying all proper nouns in a document as person names, organization names, location names, date and time expressions and miscellaneous. Previous work (Cucerzan and Yarowsky, 1999) was done using the complete words as features which suffers from a low recall problem.Character n-gram based approach(Klein et al., 2003) using generative models,was experimented on English language and it proved to be useful over the word based models.

Added on November 11, 2010

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  • Product Type : Research Paper
  • License Type : Freeware
  • System Requirement : Not Applicable
  • Author : Praneeth M Shishtla, Prasad Pingali, Vasudeva Varma

The twin challenges of massive information overload via the web and ubiquitous computers present us with an unavoidable task: developing techniques to handle multilingual information robustly and efficiently, with as high quality performance as possible. Previous research activities on multilingual information access systems have studied cross-language information retrieval (CLIR), information extraction and factoid based question answering tasks in detail.

Added on November 11, 2010

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  • Product Type : Research Paper
  • License Type : Freeware
  • System Requirement : Not Applicable
  • Author : Prasad Pingali

Paradigm Table consists of part of speech categories to cater for GNP information and post position to the root word (with appropriate modification). The categorization follows norms led down by AnglaBharati requirement.

Added on November 11, 2010

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  • Product Type : Linguistic Resources
  • License Type : Freeware
  • System Requirement : Windows,Linux,Mac OS X,Solaris os

This is a monolingual aligned corpus developed for Tourism domain. Supported text encoding is Unicode.

Added on November 10, 2010

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  • Product Type : Linguistic Resources
  • License Type : Research
  • System Requirement : Windows,Linux,Mac OS X,Solaris os