TAILIEUCHUNG - Báo cáo khoa học: "MENU-BASED NATURAL LANGUAGE UNDERSTANDING "

This paper describes the NLMenu System, a menu-based natural language understanding system. Rather than requiring the user to type his input to the system, input to NLMenu is made by selecting items from a set of dynamically changing menus. Active menus and items are determined by a predictive left-corner parser that accesses a semantic grammar and lexicon. The advantage of this approach is that a l l inputs to the NLMenu System can be understood thus giving a 0% f a i l u r e rate. | MENU-BASED NATURAL LANGUAGE UNDERSTANDING Harry R. Tennant Kenneth M. Ross Richard M. Saenz Craig w. Thompson and James R. Miller Computer Science Laboratory Central Research Laboratories Texas Instruments Incorporated Dallas Texas ABSTRACT This paper describes the NLMenu System a menu-based natural language understanding system. Rather than requiring the user to type his input to the system input to NLMenu is made by selecting items from a set of dynamically changing menus. Active menus and items are determined by a predictive left-corner parser that accesses a semantic grammar and lexicon. The advantage of this approach is that all inputs to the NLMenu System can be understood thus giving a 0 failure rate. A companion system that can automatically generate interfaces to relational databases is also discussed. I INTRODUCTION Much research into the building of natural language interfaces has been going on for the past 15 years. The primary direction that this research has taken is to improve and extend the capabilities and coverage of natural language interfaces. Thus work has focused on constructing and using new formalisms both syntactically and semantically based and on improving the grammars and or semantics necessary for characterizing the range of sentences to be handled by the system. The ultimate goal of this work is to give natural language interfaces the ability to understand larger and larger classes of input sentences. Tennant 1980 is one of the few attempts to consider the problem of evaluating natural language interfaces. The results reported by Tennant concerning his evaluation of the PLANES System are discouraging. These results show that a major problem with PLANES was the negative expectations created by the system s inability to understand input sentences. The inability of PLANES to handle sentences that were input caused the users to infer that many other sentences would not be correctly handled. These inferences about PLANES capabilities .

• Báo cáo khoa học
• MENU BASED NATURAL LANGUAGE UNDERSTANDING
• Harry R
• Tennant
• Kenneth M
• Ross
• 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
• 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