ML Anthology

Machine Learning of Generic and User-Focused Summarization

Inderjeet Mani, Eric Bloedorn
AAAI 1998 pp. 821-826
doi:10.48550/arxiv.cs/9811006 /aaai/1998/mani1998aaai-machine/

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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Cite

Text

Mani and Bloedorn. "Machine Learning of Generic and User-Focused Summarization." AAAI Conference on Artificial Intelligence, 1998. doi:10.48550/arxiv.cs/9811006

Markdown

[Mani and Bloedorn. "Machine Learning of Generic and User-Focused Summarization." AAAI Conference on Artificial Intelligence, 1998.](https://mlanthology.org/aaai/1998/mani1998aaai-machine/) doi:10.48550/arxiv.cs/9811006

BibTeX

@inproceedings{mani1998aaai-machine,
  title     = {{Machine Learning of Generic and User-Focused Summarization}},
  author    = {Mani, Inderjeet and Bloedorn, Eric},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {1998},
  pages     = {821-826},
  doi       = {10.48550/arxiv.cs/9811006},
  url       = {https://mlanthology.org/aaai/1998/mani1998aaai-machine/}
}