TAILIEUCHUNG - Báo cáo khoa học: "DESCRIPTION STRATEGIES FOR NAIVE AND EXPERT USERS"

It is widely recognized that a question-answerlng system should be able to tailor its answers to the user. One of the dimensions Mong which thus tailoring can occur is with respect to the level of knowledge of a user about a domain. In particular, responses should be different depending on whether they are addressed to ns/ve or expert users. To understand what those differences should be, we a~alyzed texts from adult and iunior encyclopedias. W e found that two different strategies were used in describing complex physical obiects to juniors and adults. W e show how these strategies have. | DESCRIPTION STRATEGIES FOR NAIVE AND EXPERT USERS Cếcile L. Paris Department of Computer Science Columbia University New York NY 10027 Abstract It IS widely recognized that a question-answering system should be able to tailor its answers to the user One of the dimensions along which this tailoring can occur IS with respect to the level of knowledge of a user about a domain. In particular responses should be different depending on whether they are addressed to naive or expert users. To understand what those differences should be we analyzed texts from adult and junior encyclopedias. We found that two different strategies were used in describing complex physical objects to juniors and adults. We show how these strategies have been implemented on a test database We plan to use this distinction in the questionanswering program for RESEARCHER a system being developed at Columbia University RESEARCHER reads remembers and generalizes from patents abstracts written in English Lebowitz 83 . The abstracts describe complex physical objects in which spatial and functional relations are important Thus we are interested in characterizing spatial strategies that can be used for experts and novices about certain physical objects. We give details in the paper of the current implementation of description strategies on a test database of object descriptions. OUR DOMAIN INTRODUCTION Whether the purpose of a natural language program IS to ease man-machine interactions Kaplan 82 Hayes and Reddy 79 or to model human communication Lehnert 78 it must take into consideration certain characteristics of the person engaged in the interaction. In an interaction between people the goals beliefs intentions knowledge and past experience of the participants will play a role in how they communicate with each other Cohen and Perrault 79 Perrault and Allen 80 . Similarly those characteristics should play a role in the way a computer system interacts with a user. In particular a question-answering .

• Báo cáo khoa học
• DESCRIPTION STRATEGIES FOR NAIVE
• EXPERT USERS
• Long Papers
• 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
• 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