TAILIEUCHUNG - Báo cáo khoa học: "INIGATION OF PROCESSING STRATEGIES FOR THE STRUCTURAL ANALYSIS OF ARGOMF"

This paper outlines research on processing strategies being developed for a language understanding systerN, designed to interpret the structure of arguments. For the system, arguments are viewed as trees, with claims as fathers to their evidence. Then understanding becomes a problem of developing a representative argtmlent tree, by locating each proposition of the argument at its appropriate place. | INVESTIGATION OF PROCESSING STRATEGIES FOR THE STRUCTURAL ANALYSIS OF ARGUMENTS Robin Cohen Department of Computer Science University of Toronto Toronto Canada M5S 1A7 ABSTRACT This paper outlines research on processing strategies being developed for a language understanding system designed to interpret the structure of arguments. For the system argunents are viewed as trees with claims as fathers to their evidence. Then understanding becomes a problem of developing a representative argument tree by locating each proposition of the argument at its appropriate place. The processing strategies we develop for the hearer are based on expectations that the speaker will use particular coherent transmission strategies and are designed to be fairly efficient work in linear time . We also comment on the use by the speaker of linguistic clues to indicate structure illustrating how the hearer can interpret the clues to limit his processing search and thus improve the complexity of the understanding process. 1. BACKGROUND This paper focuses on one aspect of an argument understanding system currently being designed. An overview of the initial design for the system can be found in Cohen 80 . In general we are examining one-sided arguments where the speaker S tries to convince the hearer H of a particular point of view. We then concentrate on the analysis problem of determining the overall structure of the argument. Considering an argument as a series of propositions the structure is indicated by isolating those propositions which serve as CLAIMS and those which serve as EVIDENCE for a particular claim and by indicating how each piece of evidence supports its associated claim. A proposition E is established as evidence for a proposition c if they fit appropriate slots in one of the system frames representing various logical rules of inference such that E is a premise to c s conclusion. For example E will be evidence for c according to modus ponens if E c is true. Establishing .

• Báo cáo khoa học
• INIGATION OF PROCESSING STRATEGIES
• THE STRUCTURAL ANALYSIS OF ARGOMF
• Robin Cohen
• 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