Information sought and information provided: an empirical study of user/expert dialogues
CHI '85 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Usable natural language interfaces through menu-based natural language understanding
CHI '83 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The effects of limited grammar on interactive natural language
CHI '83 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Robust sentence analysis and habitability
Robust sentence analysis and habitability
The pragmatics of referring and the modality of communication
Computational Linguistics
The structure of user-adviser dialogues: is there method in their madness?
ACL '86 Proceedings of the 24th annual meeting on Association for Computational Linguistics
ACL '87 Proceedings of the 25th annual meeting on Association for Computational Linguistics
Anaphora resolution: short-term memory and focusing
ACL '85 Proceedings of the 23rd annual meeting on Association for Computational Linguistics
Linguistic analysis of natural language communication with computers
COLING '80 Proceedings of the 8th conference on Computational linguistics
An analysis of scripts generated in writing between users and computer consultants
AFIPS '84 Proceedings of the July 9-12, 1984, national computer conference and exposition
CHI '88 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
IUI '93 Proceedings of the 1st international conference on Intelligent user interfaces
Adaptive Dialogue Management in the NIMITEK Prototype System
PIT '08 Proceedings of the 4th IEEE tutorial and research workshop on Perception and Interactive Technologies for Speech-Based Systems: Perception in Multimodal Dialogue Systems
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Advisory systems can be very powerful general tools for users. Formal query languages, menus, and direct manipulation interfaces might not suffice to access advisory systems' full functionality. The capabilities of natural language interfaces could be required. Unfortunately, natural language interfaces are not meeting the needs yet. Wide syntactic coverage is often traded off against handling ungrammatical sentences. However, this study shows that users request help with a very simple and restricted English, characteristic of unplanned or of child language. Moreover, users' utterances are frequently ungrammatical. It is argued that the simple syntax and the ungrammaticalities are determined by features intrinsic to advisory systems: users request help by typing to perform another primary task under real-time production constraints. Because of intrinsic performance constraints, users naturally resort to earlier and simpler forms of syntax. Natural language interfaces to advisory systems need not cover a wide variety of syntactic constructions but they must emphasize robust parsing.