TAILIEUCHUNG - Báo cáo khoa học: "Natural Language for Expert Systems: Comparisons with Database Systems"

Do natural language database systems still ,~lovide a valuable environment for further work on n~,tural language processing? Are there other systems which provide the same hard environment :for testing, but allow us to explore more interesting natural language questions? In order to answer , o to the first question and yes to the second (the position taken by our panel's chair}, there must be an interesting language problem which is more naturally studied in some other system than in the database system. . | Natural Language for Expert Systems Comparisons with Database Systems Kathleen R. McKeown Department of Computer Science Columbia University New York . 10027 1 Introduction Do natural language database systems still r i ovide a valuable environment for further work on natural language processing Are there other systems which provide the same hard environment for testing but allow us to explore more interesting natural language questions In order to answer no to the first question and yea to the second the position taken by our panel s chair there must be an interesting language problem which is more naturally studied in some other system than in the database system. We are currently working on natural language for expert systems at Columbia and thus expert systems provide a natural alternative environment to compare against the database system. The relatively recent success of expert systems in commercial environments e g. stolfo and Vesonder 83 McDermott 81 indicates that they meet the criteria of a hard test environment. In our work we are particularly interested in developing the ability to generate explanations that are tailored to the user of the system based on the previous discourse. In order to do this in an interesting way we assume that explanation will be part of natural language dialog with the system allowing the user maximum flexibility in interacting with the system and allowing the system maximum opportunity to provide different explanations. The influence of the discourse situation on the meaning of an utterance and the choice of response falls into the category of pragmatics one of the areas of natural language research which has only recently begun to receive much attention. Given this interesting and relatively new area in natural language research my goals for the paper are to explore whether the expert system or database system better supports study of the effect of previous discourse on current responses and in what ways. The work .

• Báo cáo khoa học
• Natural Language
• Expert Systems
• Comparisons with Database Systems
• scientific reports
• model language
• process natural language
• Lecture Natural language processing
• Natural language processing
• Language processing
• World knowledge
• Semantic analysis
• Semantic analysis
• Basic principles for NLP
• Basic principles
• Computational linguistics
• Parallel corpora application
• Statistical machine translation
• Statistical MT systems
• Dialog Control
• Natural Language System
• Dialog Control in a Natural Language System
• Speech and language processing
• Speech recognition
• Regular expressions
• Text normalization
• N gram language models
• Neural language models
• Expanding the Horizons
• Natural Language Interfaces
• Phil Hayes
• PROSPECTS OR PRACTICAL
• NATURAL LANGUAGE SYSTEMS
• Workshops
• 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