tailieunhanh - Báo cáo khoa học: "INTERPRETING NATURAL LANGUAGE DATABASE UPDATES"

Although the problem of querying a database in natural language has been studied extensively, there has been relatively little work on processing database updates expressed in natural language. To interpret update requests, several linguistic issues must be addressod that do not typically pose difficulties when dealing exclusively with queries. This paper briefly examines some of the linguistic problems encountered, and describes an implemented system that performs simple natural language database update | INTERPRETING NATURAL LANGUAGE DATABASE UPDATES s. Jerrold Kaplan Jim Davidson Computer Science Dept. Stanford University Stanford. Ca. 94305 1. Introduction Although the problem of querying a database in natural language has been studied extensively there has been relatively little work on processing database updates expressed in natural language. To interpret update requests several linguistic issues must be addressed that do not typically pose difficulties when dealing exclusively with queries. This paper briefly examines some of the linguistic problems encountered and describes an implemented system that performs simple natural language database updates. The primary difficulty with interpreting natural language updates is that there may be several ways in which a particular update can be performed in the underlying database. Many of these options while literally correct and semantically meaningful may correspond to bizarre interpretations of the request While human speakers would intuitively reject these unusual readings a computer program may be unable to distinguish them from more appropriate ones. If carried out they often have undesirable side effects on the database. For example a simple request to Change the teacher of CS345 from Smith tò Jones might be carried out by altering the number of a course that Jones already teaches to be CS345 by changing Smith s name to b Jones or by modifying a teaches link in the database. While all of these may literally carry out the update they may implicitly cause unanticipated changes such as altering Jones salary to be Smith s. Our approach to this problem is to generate a limited set of candidate updates rank them according to a set of domainindependent heuristics that reflect general properties of reasonable updates and either perform the update or present the highest ranked options to the user for selection. This process may be guided by various linguistic considerations such as the difference between ưansparent and

• Báo cáo khoa học
• INTERPRETING NATURAL LANGUAGE
• DATABASE UPDATES
• S
• Jermld Kaplan Jim David
• scientific reports
• model language
• process natural language
• INTERPRETING SYNTACTICALLY
• ILL FORMED SENTENCES
• Leonardo
• PARSING AND INTERPRETING COMPARATIVES
• Marmy Rayner
• Long Papers
• DISAMBIGUATING
• INTERPRETING VERB EFINITIONS
• Yael Ravin
• On Interpreting F Structures as UDRSs
• Josef van Genabith
• INTERPRETING SINGULAR
• DEFINITE DESCRIPTIONS
• DATABASE QUERIES
• BMC Genomics
• Next generation sequencing
• Mendelian disorders
• Variant annotation
• Variant interpretation
• Whole exome sequencing
• Natural language processing
• 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
• 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
• Mark H
• Bursteln