New Methods in Automatic Extracting
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Training a selection function for extraction
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Applied Computational Intelligence and Soft Computing
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Expert Systems with Applications: An International Journal
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This paper addresses the problem of identifying likely topics of texts by their position in the text. It describes the automated training and evaluation of an Optimal Position Policy, a method of locating the likely positions of topic-bearing sentences based on genre-specific regularities of discourse structure. This method can be used in applications such as information retrieval, routing, and text summarization.