Learning and reasoning by analogy
Communications of the ACM
Generating natural language text in response to questions about database structure
Generating natural language text in response to questions about database structure
Semantic interpretation against ambiguity
Semantic interpretation against ambiguity
Unifying representation and generalization: understanding hierarchically structured objects
Unifying representation and generalization: understanding hierarchically structured objects
Description strategies for naive and expert users
ACL '85 Proceedings of the 23rd annual meeting on Association for Computational Linguistics
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The development of very powerful intelligent information systems requires the use of many techniques best derived by studying human understanding methods. RESEARCHER is a system that reads, remembers, generalizes from, and answers questions about complex technical texts, patent abstracts in particular. In this paper we discuss three current areas of research involving RESEARCHER - the generalization of hierarchically structured representations; the use of long-term memory in text processing, specifically in resolving ambiguity; and the tailoring of answers to questions to the level of expertise of different users.