tailieunhanh - Báo cáo khoa học: "A Rule-based Conversation Participant"

The problem of modeling human understanding and generation of a coherent dialog is investigated by simulating a conversation participant. The rule-based system currently under development attempts to capture the intuitive concept of "topic" using data structures consisting of declarative representations of the subjects under discussion linked to the utterances and rules that generated them. Scripts, goal trees, and a semantic network are brought to bear by general, domain-independent conversational rules to understand and generate coherent topic transitions and specific output utterances. . | A Rule-based Conversation Participant Robert E. Frederking Computer Science Department Carnegie-Mellon University Pittsburgh Pennsylvania 15213 Abstract The problem of modeling human understanding and generation of a coherent dialog is investigated by simulating a conversation participant. The rule-based system currently under development attempts to capture the intuitive concept of topic using data structures consisting of declarative representations of the subjects under discussion linked to the utterances and rules that generated them. Scripts goal trees and a semantic network are brought to bear by general domain-independent conversational rules to understand and generate coherent topic transitions and specific output utterances. 1. Rules topics and utterances Numerous systems have been proposed to model human use of language in conversation speech acts 1 MICS 3 Grosz 5 . They have attacked the problem from several different directions. Often an attempt has been made to develop some intersentential analog of syntax despite the severe problems that grammar-oriented parsers have experienced. The program described in this paper avoids the use of such a grammar using instead a model of the conversation s topics to provide the necessary connections between utterances. It is similar to the ELI parsing system developed by Riesbeck and Schank 7 in that it uses relatively small independent segments of code or rules to decide how to respond to each utterance given the context of the utterances that have already occurred. The program currently operates in the role of a graduate student discussing qualifier exams although the rules and control structures are independent of the domain and do not assume any a priori topic of discussion. The main goals of this project are To develop a small number of general rules that manipulate internal models of topics in order to produce a coherent conversation. To develop a representation for these models of topics which will enable the

• Báo cáo khoa học
• A Rule based Conversation Participant
• Robert E
• Frederking
• Long Papers
• 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
• 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