Using Gene Expression Programming to Construct Sentence Ranking Functions for Text Summarization

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.

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