TAILIEUCHUNG - Báo cáo khoa học: "THE TEXTUAL DEVELOPMENT OF NON-STEREOTYPIC CONCEPTS"

The basic premise of the KONTEXT model is that new concepts are communicated by using the mechanisms of text constitution. The text model used assumes that the information conveyed in a text and the information describing its contextual organization can be structured into five layers (sentence structure, information on thematic progression, referential structure, conceptual representation of the text and conceptual background knowledge). | THE TEXTUAL DEVELOPMENT OF NON-STEREOTYPIC CONCEPTS Karin Haenelt and Michael Kõnyves-Tóth Integrated Publication and Information Systems Institute IPSI GMD DolivostraBe 15 D 6100 Darmstadt Germany haenelt@ koenyves@ tel. 49 0 6151 875-811 fax-818 ABSTRACT In this paper the text theoretical foundation of our text analysis system KONTEXT is described. The basic premise of the KONTEXT model is that new concepts are communicated by using the mechanisms of text constitution. The text model used assumes that the information conveyed in a text and the information describing its contextual organization can be structured into five layers sentence structure information on thematic progression referential structure conceptual representation of the text and conceptual background knowledge . The text analysis component constructs and traverses the information of these layers under control of the discourse development. In this way it can incrementally construct a textual view on knowledge rather than only recognizing precoded concepts. 1 INTRODUCTION In the field of knowledge-based text analysis it has been regarded as insufficient to analyze a text against the background of static and stereotypic default assumptions for some time cf. Hell-wig84 Scha Bruce Polanyi87 . By applying this method the pre-coded concepts are invoked again and again during the process of text analysis regardless of the changes and the new concepts being constituted by the ongoing text. The function of a text however is not confined to concept selection as in current knowledge-based applications. In addition textual mechanisms are used to operate on concepts and to compose them to actual contexts . to constitute new concepts. Textually the contexts are established by the thematic and by the referential structure. Thus new mecha nisms are required which permit the textual organization to control the creation and manipulation of concepts in text .

• Báo cáo khoa học
• THE TEXTUAL DEVELOPMENT
• NON STEREOTYPIC CONCEPTS
• Karin Haenelt
• 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