Machine Learning of Generic and User-Focused Summarization

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 docnd 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.

• Type: Conference
• Year: 1998
• Where: AAAI
• Authors: Inderjeet Mani, Eric Bloedorn
• Keywords: AAAI 1998, Intelligent Agents, Key Problem, Salience Functions, Text Summarization