Machine Learning of Generic and User-Focused Summarization
计算与语言
2007-05-23 v1 机器学习
摘要
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.
引用
@article{arxiv.cs/9811006,
title = {Machine Learning of Generic and User-Focused Summarization},
author = {Inderjeet Mani and Eric Bloedorn},
journal= {arXiv preprint arXiv:cs/9811006},
year = {2007}
}
备注
In Proceedings of the Fifteenth National Conference on AI (AAAI-98), p. 821-826