Machine Learning of Generic and User-Focused Summarization

Inderjeet Mani; Eric Bloedorn

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arXiv · cs/9811006

Machine Learning of Generic and User-Focused Summarization

Inderjeet Mani·Eric Bloedorn

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Abstract

A key problem in text summarization is finding a salience function which determines what information in the source should be included in the summary. This paper describes the use of machine learning on a training corpus of documents and their abstracts to discover salience functions which describe what combination of features is optimal for a given summarization task. The method addresses both "generic" and user-focused summaries.

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Inderjeet Mani, Eric Bloedorn. 1998-11-02. Machine Learning of Generic and User-Focused Summarization. https://arxiv.org/abs/cs/9811006

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