TAILIEUCHUNG - Báo cáo khoa học: "A Terminological Simplification Transformation for Natural Language Question-Answering Systems"

A new method is presented for simplifying the logical expressions used to represent utterance meaning in a natural language system. 1 This simplification method utilizes the encoded knowledge and the limited inference-making capability of a tax onomic knowledge representation system to reduce the constituent structure of logical expressions. | A Terminological Simplification Transformation for Natural Language Question-Answering Systems David G. Stallard BBN Laboratories Inc. 10 Moulton St. Cambridge MA. 02238 Abstract A new method is presented for simplifying the logical expressions used to represent utterance meaning in a natural language This simplification method utilizes the encoded knowledge and the limited inference-making capability of a taxonomic knowledge representation system to reduce the constituent structure of logical expressions. The specific application is to the problem of mapping expressions of the meaning representation language to a database language capable of retrieving actual responses. Particular account is taken of the model-theoretic aspects of this problem. 1. Introduction A common and useful strategy for constructing natural language interface systems is to divide the processing of an utterance into two major stages the first mapping the utterance to a logical expression representing its meaning and the second producing from this logical expression the appropriate response. The second stage is not neccesarily trivial the difficulty of its design is signifigantly affected by the complexity and generalness of the logical expressions it has to deal with. If this issue is not faced squarely it may affect choices made elsewhere in the system. Indeed a need to restrict the form of the meaning representation can be at odds with particular approaches towards producing it - as for example the compositional approach which does not seek to control expression complexity by giving interpretations for whole phrasal patterns but simply combines together the meaning of individual words in a manner appropriate to the syntax of the utterance. Such a conflict is certainly not desirable we want to have freedom of linguistic action as well as to be able to obtain correct responses to utterances. This paper treats in detail the particular manifestation of these issues for natural-language

• Báo cáo khoa học
• A Terminological Simplification Transformation
• Natural Language Question Answering Systems
• David G
• Stallard
• 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