Estimating Risk of Picking a Sentence for Document Summarization

Authors:
Chandan Kumar;Prasad Pingali;Vasudeva Varma
Affiliations:
Language Technologies Research Centre, International Institute of Information Technology, Hyderabad, India;Language Technologies Research Centre, International Institute of Information Technology, Hyderabad, India;Language Technologies Research Centre, International Institute of Information Technology, Hyderabad, India
Venue:
CICLing '09 Proceedings of the 10th International Conference on Computational Linguistics and Intelligent Text Processing
Year:
2009

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Abstract

Automatic Document summarization is proving to be an increasingly important task to overcome the information overload. The primary task of document summarization process is to pick subset of sentences as a representative of whole document set. We treat this as a decision making problem and estimate the risk involve in making this decision. We calculate the risk of information loss associated with each sentence and extract sentences based on ascending order of their risk. The experimental result shows that the proposed approach performs better than various state of the art approaches.