TAILIEUCHUNG - Báo cáo khoa học: "A COMFUTATIONAL THEORY OF THE FUNCTION OF CLUE WORDS IN ARGUMENT UNDERSTANDING"

This paper examines the use of clue words in argument dialogues. These are special words and phrases directly indicating the structure of the argument to the hearer. Two main conclusions are drawn: I) clue words can occur in conjunction with coherent transmissions, to reduce processing of the hearer 2) clue words must occur with more complex forms of transmission, to facilitate recognition of the argument structure. Interpretation rules to process clues are proposed. In addition, a relationship between use of clues and complexity of processing is suggested for the case of exceptional transmission strategies. . | A COMPUTATIONAL THEORY OF THE FUNCTION OF CLUE WORDS IN ARGUMENT UNDERSTANDING Robin Cohen Department of Computer Science University of Toronto Toronto CANADA M5S 1A4 ABSTRACT This paper examines the use of clue words in argument dialogues. These are special words and phrases directly indicating the structure of the argument to the hearer. Two main conclusions are drawn 1 clue words can occur in conjunction with coherent transmissions to reduce processing of the hearer 2 clue words must occur with more complex forms of transmission to facilitate recognition of the argument structure. Interpretation rules to process clues are proposed. In addition a relationship between use of clues and complexity of processing is suggested for the case of exceptional transmission strategies. I Overview In argument dialogues one often encounters words which serve to indicate overall structure - phrases that link individual propositions to form one coherent presentation. other researchers in language understanding have acknowledged the existence of these clue words . Birnbaum Birnbaum 82 states that in order to recognize argument structures it would be useful to identify typical signals of each form. In Cohen 83 we develop a computational model for argument analysis. The setting is a dialogue where the speaker tries to convince the hearer of a particular point of view as a first step the hearer tries to construct a representation for the structure of the argument indicating the underlying claim and evidence relations between propositions. Within this framework a theory of linguistic clues is developed which categorizes the function of different phrases presenting interpretation rules. What we have done is develop a model for argument analysis which is sufficiently well-defined in terms of algorithms with measurable complexity to allow convenient study of the effect of clue words on processing. Two important observations are made 1 clue words cut processing of the hearer in .

• Báo cáo khoa học
• A COMFUTATIONAL THEORY
• THE FUNCTION OF CLUE WORDS
• ARGUMENT UNDERSTANDING
• 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