Wayne State University

One of the goals is to experimentally demonstrate that an NLP system that closely parallels the representational and inferential characteristics of natural language allows one to achieve an in-depth processing, with close-to-real-time, high-recall-and-precision performance.

Abstract

The UNO natural language processing (NLP) system implements a Boolean algebra computational model of natural language [Iwańska, 1992] [Iwańska, 1993] [Iwańska, 1994] [Iwańska, 1996b] and reflects our research hypothesis that natural language is a very expressive, yet computationally tractable knowledge representation and reasoning system with its own representational and inferential machinery. One of our goals is to experimentally demonstrate that an NLP system that closely parallels the representational and inferential characteristics of natural language allows one to achieve an in-depth processing (eg., querring automatically from texts created knowledge bases or entity classification), with close-to-real-time, high-recall-and-precision performance.