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Usable natural language interfaces through menu-based natural language understanding
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Source Conference on Human Factors in Computing Systems archive
Proceedings of the SIGCHI conference on Human Factors in Computing Systems table of contents
Boston, Massachusetts, United States
Pages: 154 - 160  
Year of Publication: 1983
ISBN:0-89791-121-0
Authors
Harry R. Tennant  Computer Science Laboratory, Central Research Laboratories, Texas Instruments Incorporated, Dallas, Texas
Kenneth M. Ross  Computer Science Laboratory, Central Research Laboratories, Texas Instruments Incorporated, Dallas, Texas
Craig W. Thompson  Computer Science Laboratory, Central Research Laboratories, Texas Instruments Incorporated, Dallas, Texas
Sponsors
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
Human Factors Soc : Human Factors Society
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 7,   Downloads (12 Months): 25,   Citation Count: 15
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ABSTRACT

Conventional natural language interfaces suffer from several ease-of-use problems. They require a user to type and to formulate questions in a way that the system can understand. They have high failure rates which often frustrate users, and users often do not use features of the systems because they are unaware of them or don't trust them. In addition, conventional natural language systems are expensive to build and require large amounts of storage to use. This paper describes a new approach to natural language interfaces called menu-based natural language understanding. This new approach solves the problems listed above. The paper compares the menu-based natural language approach to conventional natural language interfaces and to other forms of interface and discusses the advantages and limitations of this new approach.



CITED BY  15

Collaborative Colleagues:
Harry R. Tennant: colleagues
Kenneth M. Ross: colleagues
Craig W. Thompson: colleagues