Statistical Approaches to Automatic Text Summarization (23 Mar 2004)

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Statistical Approaches to Automatic Text Summarization (23 Mar 2004)
Information can be made more digestible in a number of ways. It can be compressed into a briefer format to enable the user to absorb the information quickly. It can merely point the user to a fuller account if he or she is interested. It can tip the user to whether a piece of information will be worthwhile. Or, it can pull similar or related sources together into a single summation. Whether the approach is informative, indicative, critical or aggregative, respectively, some reductive process has to happen. To have human beings doing the reducing is time-consuming and expensive, so after many dormant years the more than 40-year-old quest to summarize text automatically has been getting a lot of renewed attention.

Article URL: http://www.asis.org/Bulletin/Apr-04/mcargar.html

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