TAILIEUCHUNG - Báo cáo khoa học: "ENHANCING EXPLANATION COHERENCE WITH RHETORICAL STRATEGIES MARKT. MAYBURY"

This paper discusses the application of a previously reported theory of explanation rhetoric (Maybury, 1988b) to the task of explaining constraint violations in a hybrid rule/frame based system for resource allocation (Dawson et al, 1987). This research illustrates how discourse strategies of explanation, textual connectives, and additional justification knowledge can be applied to enhance the cohesiveness, structure, and clarity of knowledge based system explanations. INTRODUCTION Recent work in text generation includes emphasis on producing textual presentations of the explanations of reasoning in knowledge-based systems. . | ENHANCING EXPLANATION COHERENCE WITH RHETORICAL STRATEGIES MARK T. MAYBURY Rome Air Development Center Intelligent Interface Group Griffiss AFB Rome NY 13441-5700 maybury@ and Cambridge University Computer Laboratory Cambridge England CB2 3QG ABSTRACT This paper discusses the application of a previously reported theory of explanation rhetoric Maybury 1988b to the task of explaining consttaint violations in a hybrid rule frame based system for resource allocation Dawson et al 1987 . This research illustrates how discourse strategies of explanation textual connectives and additional justification knowledge can be applied to enhance the cohesiveness structure and clarity of knowledge based system explanations. INTRODUCTION Recent work in text generation includes emphasis on producing textual presentations of the explanations of reasoning in knowledge-based systems. Initial work Swartout 1981 on the direct translation of underlying system knowledge led to insights that more perspicuous justifications would result from keeping track of the principles or deep causal models which supported that knowledge Swartout and Smoliar 1988 . And experiments with discourse strategies demonstrated the efficacy of the rhetorical organization of knowledge to produce descriptions comparisons McKeown 1985 and clarification McCoy 1985 . Researchers have recently observed Paris et al 1988 that the line of explanation should not isomorphically mirror the underlying line of reasoning as this often resulted in poorly connected text Appelt 1982 . Others have attempted to classify patterns of explanations Stevens and Steinberg 1981 Schank 1986 . The approach presented here is to exploit generic explanation strategies and focus models Sidner 1983 Grosz and Sidner 1988 to organize the back-end justification via an explanation rhetoric that IS a rhetorical model of strategies that humans employ to persuade support or clarify their position. The result IS a more connected flowing .

• Báo cáo khoa học
• ENHANCING EXPLANATION COHERENCE
• RHETORICAL STRATEGIES MARKT
• MAYBURY
• Rome Air
• 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