tailieunhanh - Báo cáo khoa học: "USER MODELLING, DIALOG STRUCTURE, DIALOG STRATEGY IN RAM-ANS"

AI dialog systems are now developing from question-answering systems toward advising systems. This includes: - structuring dialog - understanding a n d generating a wider range o f speech acts than simply information request and answer user modelling discussed here, but see (Jameson, Wahlster 1982). The second part o f this paper presents user modelling with respect to a dialog strategy which selects and verbalizes the appropriate speech act of recommendation. | USER MODELLING DIALOG STRUCTURE AND DIALOG STRATEGY IN HAM-ANS Katharina Morik Technische Universitaet Berlin Project group KIT Sekr. FR 5-8 Franklinstr. 28 29 D-1000 Berlin 10 Fed. Rep. Germany ABSTRACT AỈ dialog systems are now developing from question-answering systems toward advising systems. This includes - structuring dialog - understanding and generating a wider range of speech acts than simply information request and answer - user modelling User modelling in HAM-ANS is closely connected to dialog structure and dialog strategy. In advising the user the system generates and verbalizes speech acts. The choice of the speech act is guided by the user profile and the dialog strategy of the system. INTRODUCTION The HAMburg Application-oriented Natural language System HAM-ANS which has been developed for 3 years is now accomplished. We could perform numerous dialogs with the system thus determining the advantages and shortcomings of our approach Hoeppner at al. 1984 . So now the time has come to show the open problems and what we have learned as did the EUFID group when they accomplished their system Templeton Burger 1983 . This paper does not evaluate the overall HAM-ANS but is restricted to the aspect of dialog structuring and user modelling. Dialog structure is represented at two levels the outline of the dialog is explicitly represented by a top evel routine embedded sub-dialogs are a result of the processing strategy of HAM-ANS. The overall dialog structure is utilized for determining the appropriate degree of detail of the referential knowledge for a particular dialog phase. The embedded sub-dialogs refer to other knowledge sources than the referential knowledge. In the first part of this paper dialog structuring in HAM-ANS is described. Handling of dialog phenomena as ellipsis and anaphora is not The work on HAM-ANS has been supported by the BMFT Bundesministerium fuer Forschung und Technologic under contract 08itl5038. discussed here but see Jameson .

• Báo cáo khoa học
• USER MODELLING
• DIALOG STRUCTURE
• DIALOG STRATEGY IN RAM ANS
• Katharina Morik
• scientific reports
• model language
• process natural language
• User Expertise Modelling
• Adaptivity in a Speech based
• E mail System
• báo cáo khoa học
• mô hình ngôn ngữ
• xử lý ngôn ngữ tự nhiên
• Adaptivity in Question Answering
• Dialogue Interface
• Visual programming environment
• Object Oriented Programming
• Visual Integrated Development Environment
• Unified Modelling Language
• Graphical User Interface
• Visual IDE
• 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