Sentence Level Information Retrieval.

Date of Submission

December 2004

Date of Award

Winter 12-12-2005

Institute Name (Publisher)

Indian Statistical Institute

Document Type

Master's Dissertation

Degree Name

Master of Technology

Subject Name

Computer Science


Computer Vision and Pattern Recognition Unit (CVPR-Kolkata)


Mitra, Mandar (CVPR-Kolkata; ISI)

Abstract (Summary of the Work)

With the proliferation of sources of information on WWW and on storage devices, information retrieval technique have become an integral part of human life. In this study, we experiment on expansion based approaches. Earlier retrieval systems used to retrieve reievant documents. Large size of documents are not belpful in locating the relevant part within it. So, we need a system to retrieve only relevant portion of documents for the user. In this report, we focus on the retrieval of relevant portions of the documents.


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Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.


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