tailieunhanh - Báo cáo khoa học: "Dialog Control in a Natural Language System"

A considerable amount of work in current AI research is concerned with inferring intentions from utterances (., [Allen 83], [Carberry 83], [Grosz, Sidner 86]) or planning speech acts serving certain goals (., [Appelt 85]), but only a few uniform approaches to both aspects have been presented. Most approaches to dialog control described in the literature offer either rigid action schemata that enable the simulation of the desired behavior on the surface (but lack the necessary degree of flexibility, e. g., [Metzing 79]), or descriptive methods which may also include possible alternatives for the continuation of the dialog, but. | Dialog Control in a Natural Language System1 Michael Gerlach Helmut Horacek Uniyersitat Hamburg Fachbereich Informatik Projektgruppe WISBER JungiusstraBe 6 D-2000 Hamburg 36 . ABSTRACT In this paper a method for controlling the dialog in a natural language NL system is presented. It provides a deep modeling of information processing based on time dependent propositional attitudes of the interacting agents. Knowledge about the state of the dialog is represented in a dedicated language and changes of this state are described by a compact set of rules. An appropriate organization of rule application is introduced including the initiation of an adequate system reaction. Finally the application of the method in an NL consultation system is outlined. INTRODUCTION The solution of complex problems frequently requires cooperation of multiple agents. A great deal of interaction is needed to identify suitable tasks whose completion contributes to attaining a common goal and to organize those tasks appropriately. In particular this involves carrying out communicative subtasks including the transfer of knowledge the adjustment of beliefs expressing wants and pursuing their satisfaction all of which is motivated by the intentions of the interacting agents Werner 88 . An ambitious dialog system be it an interface a manipulation system or a consultation system which is intended to exhibit some of these capabilities should therefore consider these intentions in processing 1 The work described in this paper is part of the joint project WISBER which is supported by the German Federal Ministery for Research and Technology under grant ITW-8502. The partners in the project are Nixdorf Computer AG scs Orbit GmbH Siemens AG the University of Hamburg and the University of Saarbriicken. the dialog at least to the extent that is required for the particular type of the dialog and the domain of application. A considerable amount of work in current Al research is concerned with inferring .

• Báo cáo khoa học
• Dialog Control
• Natural Language System
• Dialog Control in a Natural Language System
• scientific reports
• model language
• process natural language
• Lecture Windows programming
• Bài giảng Lập trình Windows
• Windows programming
• Dialog resource definition statement
• Left aligned static control
• Centre aligned static control
• Bài giảng Lập trình trên Windows
• Môi trường Windows
• Phần Windows control
• Thuộc tính hàm chung
• Dialog thông dụng
• Lập trình trên Windows
• Giáo trình Lập trình Windows Forms với C#
• Lập trình Windows Forms với C#
• Lập trình Windows Forms
• Xây dựng User Control
• Khai báo thừa kế từ lớp Control
• Điều khiển Dialog
• Phương thức Message
• microsoft
• net
• lập trình máy tính
• lập trình căn bản
• lập trình C++
• ngôn ngữ lập Trình
• thủ thuật lập trình
• thiết kế form
• tài liệu lập trình
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• Kỹ thuật lập trình Visual C++
• Kỹ thuật lập trình
• Chương trình MFC
• Xử lý mouse và keyboard
• Control và dialog
• 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