Machine Learning of Generic and User-Focused Summarization
<|reference_start|>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 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.<|reference_end|>
@article{mani1998machine,
    title={Machine Learning of Generic and User-Focused Summarization},
    author={Inderjeet Mani and Eric Bloedorn},
    journal={arXiv preprint arXiv:cs/9811006},
    year={1998},
    archivePrefix={arXiv},
    eprint={cs/9811006},
    primaryClass={cs.CL cs.LG}
}