Using gene expression programming to construct sentence ranking functions for text summarization

Authors:
Zhuli Xie;Xin Li;Barbara Di Eugenio;Peter C. Nelson;Weimin Xiao;Thomas M. Tirpak
Affiliations:
University of Illinois at Chicago, Chicago, IL;University of Illinois at Chicago, Chicago, IL;University of Illinois at Chicago, Chicago, IL;University of Illinois at Chicago, Chicago, IL;Physical Realization Research Center of Motorola Labs, Schaumburg, IL;Physical Realization Research Center of Motorola Labs, Schaumburg, IL
Venue:
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Year:
2004

Citing 11
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Abstract

In this paper, we consider the automatic text summarization as a challenging task of machine learning. We proposed a novel summarization system architecture which employs Gene Expression Programming technique as its learning mechanism. The preliminary experimental results have shown that our prototype system outperforms the baseline systems.