Integration of Large-Scale Linguistic Resources in a Natural Language Understanding System

Knowledge acquisition is a serious bottleneck for natural language understanding systems. For this reason, large-scale linguistic resources have been compiled and made available by organizations such as the Linguistic Data Consortium (Comlex) and Princeton University (WordNet). Systems making use of these resources can greatly accelerate the development process by avoiding the need for the developer to re-create this information. In this paper we describe how we integrated these large scale linguistic resources into our natural language understanding system. Clientserver architecture was used to make a large volume of lexical information and a large knowledge base available to the system at development and/or run time. We discuss issues of achieving compatibility between these disparate resources. 1 NL Engine Natural language processing in the Unisys natural language understanding (NLU) system (Dahl, Norton and Scholz (1998), Dahl (1992)) is done by a natural language (NL) engine with...

• Type: Conference
• Year: 1998
• Where: ACL
• Authors: Lewis M. Norton, Deborah A. Dahl, Li Li, Katharine P. Beals
• Keywords: ACL 1998, ACL 2007, Language Understanding System, Natural Language, Natural Language Understanding