TAILIEUCHUNG - Báo cáo khoa học: "TRANSPORTABLE NATURAL-LANGUAGE INTERFACES: PROBLEMS AND TECHNIQUES"

I will address the questions posed to the panel from wlthln the context of a project at SRI, TEAM [Grosz, 1982b], that is developing techniques for transportable natural-language interfaces. The goal of transportability is to enable nonspeciallsts to adapt a natural-language processing system for access to an existing conventional database. TEAM is designed to interact with two different kinds of users. During an acquisition dlalogue, a database expert (DBE) provides TEAM with information about the files and fields in the conventlonal database for which a natural-language interface is desired. . | TRANSPORTABLE NATURAL-LANGUAGE INTERFACES PROBLEMS AND TECHNIQUES Bax bar a J. Grosz Artificial Intelligence Center SRI International Menlo Park CA 94025 Department of Computer and Information Science University of Pennsylvania Philađephỉa PA 19104 I OVERVIEW I will address the questions posed to the panel from within the context of a project at SRI TEAM Grosz 1982b that Is developing techniques for transportable natural-language Interfaces. The goal of transportability Is to enable nonspecialists to adapt a natural-language processing system for access to an existing conventional database. TEAM is designed to interact with two different kinds of users. During an acquisition dialogue a database expert DBE provides TEAM with information about the files and fields In the conventional database for which a natural-language interface Is desired. Typically this database already exists and is populated but TEAM also provides facilities for creating small local databases. This dialogue results In extension of the language-processing and data access components that make It possible for an end user to query the new database in natural language. A major benefit of using natural language is that it shifts onto the system the burden of mediating between two views of the data the way In which It Is stored the database view and the way In which an end user thinks about It the user s view . Basically database access Is done in terms of flies records and fields while natural-language expressions refer to the same information In terms of entitles and relationships in the world. In my discussion I will assume the use of a general grammar of English rather than a semantic grammar and also that the interpretation of queries will pass through an Intermediate stage In which a database-independent representation of the meaning of the query is derived before constructing the formal database query. This is because systems based on semantic grammars amalgamate Information about language .

• Báo cáo khoa học
• TRANSPORTABLE NATURAL LANGUAGE INTERFACES
• PROBLEMS AND TECHNIQUES
• Barbara J
• Grosz
• 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
• 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