Natural language question-answering systems: 1969
Communications of the ACM
Improving the human factors aspect of database interactions
ACM Transactions on Database Systems (TODS)
Interactive consulting via natural language
Communications of the ACM
SIGGRAPH '82 Proceedings of the 9th annual conference on Computer graphics and interactive techniques
A rule-based approach to ill-formed input
COLING '80 Proceedings of the 8th conference on Computational linguistics
Research in natural language processing: Hewlett-Packard Laboratories
ACM SIGART Bulletin
Language considerations for information management systems
ACM '74 Proceedings of the 1974 annual ACM conference - Volume 2
User/system interface within the context of an integrated corporate data base
AFIPS '74 Proceedings of the May 6-10, 1974, national computer conference and exposition
Query language feature analysis by usability
Computer Languages
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The complex system of form/meaning correlations comprising a natural language presents a considerable challenge for automated interpretation. In order to deal with such complexity, attempts at automated interpretation of natural language queries have typically concentrated on limited subsets of natural language. However, such subsets are inevitably ill-defined in some way, adding another class of interpretive problems to the well-known ones of syntactic ambiguity and ungrammatical strings. While the other problems are practically resolvable in some sense, the ability of an automated system to resolve the many syntactic ambiguities of natural language is a function of the interpretive power of the linguistic model upon which the system is based. Although previous models have lacked the interpretive power to deal with natural language, a novel approach integrating the treatment of form and meaning may provide an effective basis for handling natural language as an instrument of communication in automated systems.