TAILIEUCHUNG - Báo cáo khoa học: "PLANNING TEXT FOR ADVISORY DIALOGUES"

Explanation is an interactive process requiring a dialogue between advice-giver and advice-seeker. In this paper, we argue that in order to participate in a dialogue with its users, a generation system must be capable of reasoning about its own utterances and therefore must maintain a rich representation of the responses it produces. We present a text planner that constructs a detailed text plan, containing the intentional, attentional, and .,,e~,~nc~ ~tructures of the text it generates. | PLANNING TEXT FOR ADVISORY DIALOGUES Johanna. D. Moore UCLA Department of Computer Science and use Information Sciences Institute 4676 Admiralty Way Marina del Rey CA 90292-6695 USA Cécile L. Paris USC Information Sciences Institute 4676 Admiralty Way Marina del Rey CA 90292-6695 USA ABSTRACT Explanation is an interactive process requiring a dialogue between advice-giver and advice-seeker. In this paper we argue that in order to participate in a dialogue with its users a generation system must be capable of reasoning about its own utterances and therefore must maintain a rich representation of the responses it produces. We present a text planner that constructs a detailed text plan containing the intentional attentional and rhetorical structures of the text it generates. INTRODUCTION Providing explanations in an advisory situation is a highly interactive process requiring a dialogue between advice-giver and adviceseeker Pollack et al. 1982 . Participating in a dialogue requires the ability to reason about previous responses . to interpret the user s follow-up questions in the context of the ongoing conversation and to determine how to clarify a response when necessary. To provide these capabilities an explanation facility must understand what it was trying to convey and how that information was conveyed . the intentional structure behind the explanation including the goal of the explanation as a whole the subgoal s of individual parts of the explanation and the rhetorical means used to achieve them. Researchers in natural language understanding have recognized the need for such information. In their work on discourse analysis Grosz and Sidner 1986 argue that it is necessary to represent the intentional structure the attentional structure knowledge about which aspects of a dialogue are in focus at each point and the linguistic structure of The research described in this paper was supported by the Defense Advanced Research Projects Agency DARPA under a NASA .

• Báo cáo khoa học
• PLANNING TEXT
• ADVISORY DIALOGUES
• Johanna D
• Moore
• scientific reports
• model language
• process natural language
• Learning High Level Planning from Text
• S
• Branavan
• Nate Kushman
• báo cáo khoa học
• báo cáo ngôn ngữ
• ngôn ngữ tự nhiên
• PLANNING COHERENT
• MULTISENTENTIAL TEXT
• Eduard H
• Hovy
• Distribution management
• Sales management
• Supply chain management
• Channel institutions
• Channel management
• Strategic planning
• Strategic marketing
• 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
• 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