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Summarizing text documents: sentence selection and evaluation metrics
- Jade Goldstein-Stewart, M. Kantrowitz, V. Mittal, J. Carbonell
- Computer ScienceSIGIR '99
- 1 August 1999
An analysis of news-article summaries generated by sentence selection, using a normalized version of precision-recall curves with a baseline of random sentence selection to evaluate features and empirical results show the importance of corpus-dependent baseline summarization standards, compression ratios and carefully crafted long queries.
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Ultra-Summarization: A Statistical Approach to Generating Highly Condensed Non-Extractive Summaries (poster abstract).
A game machine which can be played by two or more players includes an elongated box-like housing in which a game ball can be inserted and portions which can move within these spaces so as to cause suitable manipulations of the game ball, including dribbling, when contacted by the noted projector element and activator element portions.
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Taking a learning approach enables a principled, quantitative evaluation of the proposed system, and the results of some initial experiments suggest the plausibility of learning for summarization.