TAILIEUCHUNG - Báo cáo khoa học: "An ISU Dialogue System Exhibiting Reinforcement Learning of Dialogue Policies: Generic Slot-filling in the TALK In-car System"

We demonstrate a multimodal dialogue system using reinforcement learning for in-car scenarios, developed at Edinburgh University and Cambridge University for the TALK project1. This prototype is the first “Information State Update” (ISU) dialogue system to exhibit reinforcement learning of dialogue strategies, and also has a fragmentary clarification feature. This paper describes the main components and functionality of the system, as well as the purposes and future use of the system, and surveys the research issues involved in its construction. . | An ISU Dialogue System Exhibiting Reinforcement Learning of Dialogue Policies Generic Slot-filling in the TALK In-car System Oliver Lemon Kallirroi Georgila and James Henderson Matthew Stuttle Dept. of Engineering University of Cambridge mns25@ School of Informatics University of Edinburgh olemon@ Abstract We demonstrate a multimodal dialogue system using reinforcement learning for in-car scenarios developed at Edinburgh University and Cambridge University for the TALK project1. This prototype is the first Information State Update ISU dialogue system to exhibit reinforcement learning of dialogue strategies and also has a fragmentary clarification feature. This paper describes the main components and functionality of the system as well as the purposes and future use of the system and surveys the research issues involved in its construction. Evaluation of this system . comparing the baseline system with handcoded vs. learnt dialogue policies is ongoing and the demonstration will show both. 1 Introduction The in-car system described below has been constructed primarily in order to be able to collect data for Reinforcement Learning RL approaches to multimodal dialogue management and also to test and further develop learnt dialogue strategies in a realistic application scenario. For these reasons we have built a system which contains an interface to a dialogue strategy learner module covers a realistic domain of useful in-car conversation and a wide range of dialogue phenomena . confirmation initiative clarification information presentation can be used to complete measurable tasks . there is a measure of successful and unsuccessful dialogues usable as a reward signal for Reinforcement Learning logs all interactions in the TALK data collection format Georgila et al. 2005 . 1This research is supported by the TALK project European Community 1ST project no. 507802 http In this demonstration we will exhibit the software .

• Báo cáo khoa học
• An ISU Dialogue System Exhibiting Reinforcement Learning
• Dialogue Policies
• Generic Slot filling
• TALK In car System
• 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