tailieunhanh - Báo cáo khoa học: "Correcting Object-Related Misconceptions: How Should The System Respond?"

Tills paper describes a computational method for correcting users' miseonceptioas concerning the objects modelled by a compute," . The method involves classifying object-related misc,mce|,tions according to the knowledge-base feature involved in the incorrect information. For each resulting class sub-types are identified, :.:cording to the structure of the knowledge base, which indicate wh:LI may be supporting the misconception and therefore what information to include in the response. . | Correcting Object-Related Misconceptions How Should The System Respond Kathleen F. McCoy Department of Computer Information Science University of Pennsylvania Philadelphia PA 19104 Abstract This paper describes a computational method for correcting users misconceptions concerning the objects modelled by 3 computer system. The method involves classifying object-related misconceptions according to the knowledge-base feature involved in the incorrect information. For each resulting class sub-types are identified according to the structure of the knowledge base which indicate wind information may be supporting the misconception and therefore what information to include in the response. Such a characterize ion along with a model of what the user knows enables the system to reason in a domain-independent way about how best to corn t he user. 1. Introduction A major area of Al research has been the development of expert systems systems which are able to answer user s questions concerning a particular domain. Studies identifying desirable interactive capabilities for such systems Pollack ct al. 82 have found that it is not sufficient simply to allow the user to ask a question and have the system answer it. Users often want to question the system s make sure certain constraints have been taken into consideration and so on. Thus we must strive tu provide expert systems with the ability to interact with the user in the kind of cooperative dialogues that we see between two human conversational partners. Allowing such interactions between the system and a user raises difficulties for a Natural-Language system. Since the user is interacting with a system as s he would with a human expert s he will most likely expect the system to bfhavf as a human expert. Among other things the user will expect the system to be adhering to the cooperative principles of conversation Grice 75 Joshi 82 . If these principles are not followed by the system the user is likely to become .

• Báo cáo khoa học
• Correcting Object Related Misconceptions
• How Should The System Respond
• Kathleen F
• McCoy
• 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
• Long Papers
• 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
• ACCESS TO DATABASES
• A LOGIC PROGRAMMING PERSPECTIVE
• Sharon C
• Salveter David Maier
• PLANNING NATURAL LANGUAGE
• EXPRESSIONS REFERRING
• Douglas E
• Appelt
• THE TEXT SYSTEM
• NATURAL LANGUAGE GENERATION
• Kathleen R
• M
• MENTING A DATABASE
• KNOWLEDGE REPRESENTATION
• THE KEY TO THE SELECTION PROBLEM
• E
• Jeffrey Conklin David D
• McDonald
• A KNOWLEDGE ENGINEERING
• NATURAL LANGUAGE UNDERSTANDING
• Stuart C
• Shapiro
• NATURAL LANGUAGE TEXTS
• NECESSARILY GRAMMATICAL
• EVEN COMPLETE
• UNGRAMHATICALITY
• EXTRA GRAMMATICALITY
• NATURAL LANGUAGE UNDERSTANDING SYSTEMS
• Taxonomy
• Descriptions
• Individuals in Natural
• Language Understanding
• The Use of Ooject Special Knowledge
• Natural Language Processing
• Mark H
• Bursteln