TAILIEUCHUNG - Báo cáo khoa học: "The ROMPER System: Responding to Object-Related Misconceptions using Perspective "

I As a user interacts with a database or expert system, s/he may reveal a misconception about the objects modeled by the system. This paper discusses the R O M P E R system for responding to such misconceptions in a domain independent and context sensitive fashion. R O M P E R reasons about possible sources of the misconception. It operates on a model of the user and generates a cooperative response based on this reasoning. The process is made context sensitive by augmenting the user model with a new notion of object perspective which highlights certain. | The ROMPER System Responding to Object-Related Misconceptions using Perspective1 Kathleen F. McCoy Dept of Computer and Information Sciences University of Delaware Newark De. 19716 Abstract1 As a user interacts with a database or expert system s he may reveal a misconception about the objects modeled by the system. This paper discusses the ROMPER system for responding to such misconceptions in a domain independent and context sensitive fashion. ROMPER reasons about possible sources of the misconception. It operates on a model of the user and generates a cooperative response based on this reasoning. The process is made context sensitive by augmenting the user model with a new notion of object perspective which highlights certain aspects of the user model due to previous discourse. 1 Introduction A study of transcripts of expert-user dialogues reveals that users often exhibit misconceptions about the objects modeled in a domain. This paper describes the ROMPER system Responding to Object-Related Misconceptions using PERspec-tive which is able to respond to certain classes of these misconceptions in a principled manner. In doing so the system sheds light not only on the process of correcting misconceptions but also on issues in natural-language generation user models and modeling certain contextual effects by a filtermg of the knowledge representation. The ROMPER system functions as a part of a naturallanguage interface to a database or expert system. Input to ROMPER is a specification that a misconception has been detected. In this work a misconception is defined to be some discrepancy between what the system believes . what is contained in the system knowledge base and what the user believes as exhibited through the conversation . The system knowledge base includes an object taxonomy and knowledge about object attributes and theữ possible values. Several factors may influence the structure and content of responses to queries that reveal misconceptions. These .

• Báo cáo khoa học
• The ROMPER System
• Responding to Object Related Misconceptions
• Perspective
• 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