TAILIEUCHUNG - Báo cáo khoa học: "A Plan Recognition Model for Clarification Subdialogues"

One of the promising approaches to analyzing taskoriented dialogues has involved modeling the plans of the speakers in the task domain. In general, these models work well as long as the topic follows the task structure closely, but they have difficulty in accounting for clarification subdialogues and topic change. We have developed a model based on a hierarchy of plans and metaplans that accounts for the clarification subdialogues while maintaining the advantages of the plan-based approach. | A Plan Recognition Model for Clarification Subdialogues Diane J. Litman and James F. Allen Department of Computer Science University of Rochester Rochester NY 14627 Abstract One of the promising approaches to analyzing task-oriented dialogues has involved modeling the plans of the speakers in the task domain. In general these models work well as long as the topic follows the task structure closely but they have difficulty in accounting for clarification subdialogues and topic change. We have developed a model based on a hierarchy of plans and metaplans that accounts for the clarification subdialogues while maintaining the advantages of the plan-based approach. 1. Introduction One of the promising approaches to analyzing task-oriented dialogues has involved modeling the plans of the speakers in the task domain. The earliest work in this area involved tracking the topic of a dialogue by tracking the progress of the plan in the task domain Grosz 1977 as well as explicitly incorporating speech acts into a planning framework Cohen and Perrault 1979 Allen and Perrault 1980 . A good example of the current status of these approaches can be found in Carberry 1983 . In general these models work well as long as the topic follows the task structure closely but they have difficulty in accounting for clarification subdialogues and topic change. Sidner and Israel 1981 suggest a solution to a class of clarification subdialogues that correspond to debugging the plan in the task domain. They allow utterances to talk about the task plan rather than always being a step in the plan. Using their suggestions as well as our early work Allen et al. 1982 Litman 1983 we have developed a model based on a hierarchy of plans and metaplans that This work was supported in part by the National Science Foundation under Grant IST-8210564 the Office of Naval Research under Grant N00014-80-C-1097 and the Defense Advanced Research Projects Agency under Grant N00014-82-K-0193. accounts for the debugging

• Báo cáo khoa học
• A Plan Recognition Model
• Clarification Subdialogues
• Diane J
• Litman and James F
• Allen
• scientific reports
• model language
• process natural language
• Dialog Control
• Natural Language System
• Dialog Control in a Natural Language System
• Expanding the Horizons
• Natural Language Interfaces
• Phil Hayes
• PROSPECTS OR PRACTICAL
• NATURAL LANGUAGE SYSTEMS
• Workshops
• NATURAL LANGUAGE
• INTERACTION WITH MACHINES
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• COMPUTER INTEBFACE DESIGN MURRAY TUROFF DEPARTMENT OF COMPUTER
• IiVFORMATION SCIENCE IIEW JERSEY INSTITUTE OF TECHNOLOGY
• EVALUATION OF NATURAL LANGUAGE
• INTERFACES TO DATABASE SYSTEMS
• A PANEL DISCUSSION
• database query system
• J
• Norwood Crout
• INTERFACES TO DATA BASE SYSTEMS
• Bozena Henisz
• INTERPRETING NATURAL LANGUAGE
• DATABASE UPDATES
• S
• Jermld Kaplan Jim David
• TRANSPORTABLE NATURAL LANGUAGE
• INTERFACES TO DATABASES
• Gary G
• Hendrlx and William H
• Lewis
• DATABASES THEORETICAL
• TECHNICAL ISSUES
• TRANSPORTABLE NATURAL LANGUAGE INTERFACES
• PROBLEMS AND TECHNIQUES
• Barbara J
• Grosz
• THEORETICAL TECHNICAL ISSUES
• NATURAL LANGUAGE ACCESS TO DATABASES
• R
• Petrick
• Domain Independent
• Database Access Systems
• ISSUES IN NATURAL LANGUAGE
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• A LOGIC PROGRAMMING PERSPECTIVE
• Sharon C
• Salveter David Maier
• PLANNING NATURAL LANGUAGE
• EXPRESSIONS REFERRING
• Douglas E
• Appelt
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• Kathleen R
• M
• MENTING A DATABASE
• KNOWLEDGE REPRESENTATION
• THE KEY TO THE SELECTION PROBLEM
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• Jeffrey Conklin David D
• McDonald
• A KNOWLEDGE ENGINEERING
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