Sciweavers

Share
ANLP
1992

Automatic Extraction of Facts from Press Releases to Generate News Stories

9 years 11 months ago
Automatic Extraction of Facts from Press Releases to Generate News Stories
While complete understanding of arbitrary input text remains in the future, it is currently possible to construct natural language processing systems that provide a partial understanding of text with limited accuracy. Moreover, such systems can provide cost-effective solutions to commercially-significant business problems. This paper describes one such system: JASPER. JASPER is a fact extraction system recently developed and deployed by Carnegie Group for Reuters Ltd. JASPER uses a template-driven approach, partial understanding techniques, and heuristic procedures to extract certain key pieces of information from a limited range of text. We believe that many significant business problems can be solved by fact extraction applications which involve locating and extracting specific, predefined types of information from a limited range of text. The information extracted by such systems can be used in a variety of ways, such as filling in values in a database, generating summaries of the ...
Peggy M. Andersen, Philip J. Hayes, Steven P. Wein
Added 06 Nov 2010
Updated 06 Nov 2010
Type Conference
Year 1992
Where ANLP
Authors Peggy M. Andersen, Philip J. Hayes, Steven P. Weinstein, Alison K. Huettner, Linda M. Schmandt, Irene B. Nirenburg
Comments (0)
books