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Author Rau, Lisa F. ♦ Jacobs, P. S.
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Language English
Abstract The future of natural language text processing is examined in the SCISOR prototype. Drawing on artificial intelligence techniques, and applying them to financial news items, this powerful tool illustrates some of the future benefits of natural language analysis through a combination of bottom-up and top-down processing.
Description Affiliation: GE Research and Development Center, Schenectady, NY (Jacobs, P. S.; Rau, Lisa F.)
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2005-08-01
Publisher Place New York
Journal Communications of the ACM (CACM)
Volume Number 33
Issue Number 11
Page Count 10
Starting Page 88
Ending Page 97


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Source: ACM Digital Library