tailieunhanh - Báo cáo khoa học: "NATURAL-LANGUAGE ACCESS TO DATABASES--THEORETICAL/TECHNICAL ISSUES"

Although there have been many experimental systems for natural-language access to databases, with some now going into actual use, many problems in this area remain to be solved. The purpose of this panel is to put some of those problems before the conference. The panel's motivation stems partly from the fact that, too often in the past, discussion of natural-language access to databases has focused, at the expense of the underlying issues, on what particular systems can or cannot do. To avoid this, the discussions of the present panel will be organized around issues rather than systems. . | NATURAL-LANGUAGE ACCESS TO DATABASES THEORETICAL TECHNICAL ISSUES Robert c. Moore Artificial Intelligence Center SRI International Menlo Park CA 94025 I INTRODUCTION Although there have been many experimental systems for natural-language access to databases with some now going into actual use many problems In this area remain to be solved. The purpose of this panel is to put some of those problems before the conference. The panel s motivation stems partly from the fact that too often in the past discussion of natural-language access to databases has focused at the expense of the underlying Issues on what particular systems can or cannot do. To avoid this the discussions of the present panel will be organized around issues rather than systems. Below are descriptions of five problem areas that seem to me not to be adequately handled by any existing system I know of. The panelists have been asked to discuss In their position papers as many of these problems as space allows and have been Invited to propose and discuss one Issue of their own choosing. II QUANTITY QUESTIONS Database query languages typically provide some means for counting and totaling that must be Invoked for answering how much or how many questions. The mapping between a natural-language question and the corresponding database query however can differ dramatically according to the way the database Is organized. For Instance if DEPARTMENT is a field in the EMPLOYEE file the database query for How many employees are In the sales department will presumably count the number of records In the EMPLOYEE file that have the appropriate value for the DEPARTMENT field. On the other hand If the required Information Is stored in a NUMBER-OF-EMPLOYEES field in a DEPARTMENT file the database query will merely return the value of this field from the sales department record. Yet a third case will arise If departments are broken down Into say offices and the number of exployees In each office is recorded. Then the .

• Báo cáo khoa học
• NATURAL LANGUAGE
• DATABASES THEORETICAL
• TECHNICAL ISSUES
• scientific reports
• model language
• process natural language
• BMC Bioinformatics
• Biomedical event extraction
• Unsupervised inference
• Cross sentence relations
• Natural language processing
• Text mining
• Programming teaching
• Vietnamese educational chatbot
• Vietnamese natural language processing
• Vietnamese question answering system
• Fundamental programming materials
• 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
• 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
• 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