tailieunhanh - Báo cáo khoa học: "PARASESSION ON TOPICS IN INYEZRACIXVE DISCOURSE INFLUENCE OF THE PROBLEM CONTEXT*"

My consents are organized within the framework suggested by the Panel Chair, Barbara Grosz, which I find very appropriate. All of my conlnents pertain to the various issues raised by her; however, wherever possible I will discuss these issues more in the context of the "information seeking" interaction and the data base doma/n. The primary question is how the purpose of the interaction or "the problem context" affects what is said and how it is interpreted. The ~ separate aspects of this question that must be considered are the function and the domain of the discourse. I. Types of. | PARASESSION ON TOPICS IN INTERACTIVE DISCOURSE INFLUENCE OF THE PROBLEM CONTEXT Anavind K. Joshi Department of Computer and Information Science Room 268 Moore School University of Pennsylvania Philadelphia PA 19104 My comments are organized within the framework suggested by the Panel Chair Barbara Grosz which I find very appropriate. All of my comments pertain to the various issues raised by her however wherever possible I will discuss these issues more in the context of the information seeking interaction and the data base domain. The primary question is how the purpose of the interaction or the problem context affects what is said and how it is interpreted. The two separate aspects of this question that must be considered are the function and the domain of the discourse. 1. Types of interactions functions We are concerned here about a computer system participating in a restricted kind of dialogue with a person. A partial classification of some existing interactive systems as suggested by Grosz is as follows. I have renamed the third type in a somewhat more general fashion. Participant Pl Participant P2 Computer system Person Type A Apprentice Type B Tutor Student Type c Information provider some sort of large and complex data base or knowledge base Information seeker Each type subsumes a variety of subtypes. For example in type c subtypes arise depending on the kind of information available and the type of the user. More on this later when we discuss the interaction of constraints on function and domain . It should be noted also that these different types are not really completely independent information seeking Type C is often done by the apprentice Type A and student Type B and seme of the explaining done by tutors Type B is also involved in the Type c interaction for example when Pl is trying to explain to P2 the structure of the data base. The roles of the two participants are also not fixed completely. In the type c interaction sometimes P2 .

• Báo cáo khoa học
• PARASESSION ON TOPICS
• INYEZRACIXVE DISCOURSE INFLUENCE
• THE PROBLEM CONTEXT
• 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