Information retrieval using a transportable natural language interface
SIGIR '83 Proceedings of the 6th annual international ACM SIGIR conference on Research and development in information retrieval
Building a large thesaurus for information retrieval
ANLC '88 Proceedings of the second conference on Applied natural language processing
Integrating top-down and bottom-up strategies in a text processing system
ANLC '88 Proceedings of the second conference on Applied natural language processing
The GE NLToolset: a software foundation for intelligent text processing
COLING '90 Proceedings of the 13th conference on Computational linguistics - Volume 3
Parsing run amok: relation-driven control for text analysis
AAAI'92 Proceedings of the tenth national conference on Artificial intelligence
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A generic natural language system, without modification, can effectively analyze an arbitrary input at least to the level of word sense tagging. Considerable research has addressed the transportability of natural language systems, but not generic text processing capabilities. For example, previous DARPA-sponsored work [1, 2] produced transportable interfaces to database systems. Each new application of these interfaces generally required modifications to lexicons, new semantic knowledge bases, and other specialized features. The most that natural language text processing systems have accomplished has been the parsing of arbitrary text, without any real semantic analysis.