Knowledge-based natural language processing systems have achieved good success with certain tasks but they are often criticized because they depend on a domain-specific dictionar...
We describe a generative probabilistic model of natural language, which we call HBG, that takes advantage of detailed linguistic information to resolve ambiguity. HBG incorporates...
Ezra Black, Frederick Jelinek, John D. Lafferty, D...
Corpus-based methods for natural language processing often use supervised training, requiring expensive manual annotation of training corpora. This paper investigates methods for ...
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 unders...
Peggy M. Andersen, Philip J. Hayes, Steven P. Wein...
This theory on semi-equivalence r e l a t i o n s is an important and useful tool for i n v e s t i g a t i n g c l a s s i f i c a t i o n , pattern r e c o g n i t i o n , p o l...