Machine Learning of Generic and User-Focused Summarization

Details Machine Learning of Generic and User-Focused Summarization Machine Learning of Generic and User-Focused Summarization

1998-11-02

arxiv.org/abs/cs/9811006v1

Computer Science

Computation and Language

In Proceedings of the Fifteenth National Conference on AI (AAAI-98), p. 821-826

Scientific paper

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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