GE NLToolset: description of the system as used for MUC-4

The GE NLTooLsET is a set of text interpretation tools designed to be easily adapted to new domains. This report summarizes the system and its performance on the MUG-4 task . INTRODUCTIO N The GE NLTooLsET aims at extracting and deriving useful information from text using a knowledge-based , domain-independent core of text processing tools, and customizing the existing programs to each new task . The program achieves this transportability by using a core knowledge base and lexicon that adapts easil y to new applications, along with a flexible text processing strategy that is tolerant of gaps in the program 's knowledge base. The language analysis strategy in the NLTooLsET uses fairly detailed, chart-style syntactic parsing guided by conceptual expectations . Domain-driven conceptual structures provide feedback in parsing, con tribute to scoring alternative interpretations, help recovery from failed parses, and tie together information across sentence boundaries. The interaction b...

• Type: Conference
• Year: 1992
• Where: MUC
• Authors: George B. Krupka, Paul S. Jacobs, Lisa F. Rau, Lois Childs, Ira Sider
• Keywords: GE NLTooLsET, Language Analysis, MUC 1992, Natural Language Processing, Text Processing