TAILIEUCHUNG - Báo cáo khoa học: "ISSUES IN NATURAL LANGUAGE ACCESS TO DATABASES FROM A LOGIC PROGRAMMING PERSPECTIVE"

I shall discuss issues in natural language (NL) access to databases in the light of an experimental NL questlon-answering system, Chat, which I wrote with Fernando Perelra at Edinburgh University, and which is described more fully elsewhere [8] [6] [5]. Our approach was strongly influenced by the work of Alaln Colmerauer [2] and Veronica Dahl [3] at Marseille University. Chat stages: processes a NL question in three main relational database system. | ISSUES IN NATURAL LANGUAGE ACCESS TO DATABASES FROM A LOGIC PROGRAMMING PERSPECTIVE David H D Warren Artificial Intelligence Center SRI International Menlo Park CA 94025 USA I INTRODUCTION I shall discuss Issues In natural language NL access to databases In the light of an experimental NL question-answering system Chat which I wrote with Fernando Pereira at Edinburgh University and which Is described more fully elsewhere 8 6 5 . Our approach was strongly Influenced by the work of Alain Colmerauer 2 and Veronica Dahl 3 at Marseille University. Chat processes a NL question in three main stages translation planning execution J English ---- logic ---- Prolog ----- answer corresponding roughly to What does the question mean How shall I answer It What is the answer . The meaning of a NL question and the database of Information about the application domain are both represented as statements In an extension of a subset of first-order logic which we call definite closed world DCW logic. This logic is a subset of first-order logic In that It admits only definite statements uncertain information Either this or that Is not allowed. DCW logic extends first-order logic In that it provides constructions to support the closed world assumption that everything not known to be true is false. Why does Chat use this curious logic as a meaning representation language The main reason Is that it can be Implemented very efficiently. In fact DCW logic forms the basis of a general purpose programming language Prolog 9 1 due to Colmerauer which has had a wide variety of applications. Prolog can be viewed either as an extension of pure Lisp or as an extension of a relational database query language. Moreover the efficiency of the DEC-10 Prolog implementation is comparable both with compiled Lisp 9 and with current relational database systems 6 for databases within virtual memory . Chat s second main stage planning Is responsible for transforming the logical form of the NL query Into efficient

• Báo cáo khoa học
• ISSUES IN NATURAL LANGUAGE
• ACCESS TO DATABASES
• A LOGIC PROGRAMMING PERSPECTIVE
• scientific reports
• model language
• process natural language
• NATURAL LANGUAGE
• DATABASES THEORETICAL
• TECHNICAL ISSUES
• THEORETICAL TECHNICAL ISSUES
• NATURAL LANGUAGE ACCESS TO DATABASES
• S
• R
• Petrick
• NATURAL VS
• PRECISE CONCISE LANGUAGES FOR HUMAN OPERATION OF COMPUTERS
• RESEARCH ISSUES
• EXPERIMENTAL APPROACHES
• SOME ISSUES IN PARSING
• NATURAL LINGUAGE UNDERSTANDING
• Robert Beranek
• TENSE GENERATION IN AN INTELLIGENT TUTOR
• FOREIGN LANGUAGE TEACHING
• SOME ISSUES IN THE DESIGN OF THE VERB EXPERT
• PERSPECTIVES ON PARSING ISSUES
• Jane J
• Robinson
• Workshops
• SOLUTIONS TO ISSUES DEPEND
• THE KNOWLEDGE REPRESENTATION
• Frederick B
• Some Pragmatic Issues
• the Planning of Definite
• Indefinite Noun Phrases
• 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
• 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
• 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
• Domain Independent
• Database Access Systems
• 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