Paper: Automatic Extraction Of Facts From Press Releases To Generate News Stories

ACL ID A92-1024
Title Automatic Extraction Of Facts From Press Releases To Generate News Stories
Venue Applied Natural Language Processing Conference
Session Main Conference
Year 1992
Authors

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, predefin...