TAILIEUCHUNG - Báo cáo khoa học: "Augmented Dependency Grammer: A Simple Interface between the Grammer Rule and the Knowledge"

This paper describes some operational aspects of a language comprehension model which unifies the linguistic theory and the semantic theory in respect to operations. The computational model, called Augmented Dependency Grammar (ADG), formulates not only the linguistic dependency structure of sentences but also the semantic dependency structure using the extended deep case grammar and fleld-oriented fact-knowledge based inferences. Fact knowledge base and ADG model clarify the qualitative difference between what we call semantics and logical meaning. . | Augmented Dependency Grammar A Simple Interface between the Grammar Rule and the Knowledge Kazunori MURAKI Shunji ICHIYAMA c c Systems Research Laboratories NEC Corporation Kawasaki-city 213 JAPAN and Yasutomo FUKUMOCHI Softwear development devision NSIS Corporation Kawasaki-city 213 JAPAN ABSTRACT Basic Idea This paper describes some operational aspects of a language comprehension model which unifies the linguistic theory and the semantic theory in respect to operations. The computational model called Augmented Dependency Grammar ADG formulates not only the linguistic dependency structure of sentences but also the semantic dependency structure using the extended deep case grammar and field-oriented fact-knowledge based inferences. Fact knowledge base and ADG model clarify the qualitative difference between what we call semantics and logical meaning. From a practrical view point it provides clear image of syntactic semantic computation for language processing in analysis and synthesis. It also explains the gap in semantics and logical meaning and gives a clear computaional image of what we call conceptual analysis. This grammar is used for analysis of Japanese and synthesis of English in the Japanese-to-English machine translation system called VENUS Vehicle for Natural Language Understanding and Synthesis currently developed by NEC. The VENUS analysis model consists of two components Legato and Crescendo as shown in Fig. 1. Legato based on the ADG framework constructs semantic dependency structure of Japanese input sentences by feature-oriented dependency grammar rules as main control information for syntactic analysis and by semantic inference mechanism on a object fields fact knowledge base. Legato maps syntactic dependency directly to meaningful logical dependency if possible or maps it to languageparticular semantic dependency if two kinds of dependencies do not coincide. The second component Crescendo extracts a conceptual structure about facts from the .

• Báo cáo khoa học
• Augmented Dependency Grammer
• A Simple Interface
• the Grammer Rule and the Knowledge
• 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