BBN's PLUM Probabilistic Language Understanding system
Ralph Weischedel, June Abe, Hiroto Hosihi, Yoichi Miyamoto, Scott Miller, Damaris M. Ayuso, Sean Boisen, Heidi J. Fox, Tomoyoshi Matsukawa, Constantine Papageorgiou, Dawn MacLaughlin, Masaichiro Kitawa, Tsutomu Sakai · 1993
Traditional approaches to the problem of extracting data from texts have emphasized hand-crafted linguistic knowledge. In contrast, BBN's PLUM system (Probabilistic Language Understanding Model) was developed as part of an ARPA-funded research effort on integrating probabilistic language models with more traditional linguistic techniques. Our research and development goals are:• Achieving high performance in objective evaluations, such as the Tipster evaluations.• Reducing human effort in porting the natural language algorithms to new domains and to new languages.• Providing technology that is scalable to realistic applications.