TAILIEUCHUNG - Báo cáo khoa học: "Structures in XSEL"

There ~re two main phases to XSEL's processincj, a fact gathering phase and a component select=on phase. During the fact gathering phase XSEL carries on an interactive dialog with the salesperson to elicit values for facts that determine the customer's functional computing requirements. These might systems capture the knowledge needed to solve real-world problems in their respective domains, and that knowledge can and should be exploited for testing computational procedures for natural language processing. . | ExplanaiStructures in XSEL Karen Kukich Computer Science Department Carnegie-Mellon University Pittsburgh. PA 15213 412-578-2621 Kukich@CMU-CS-A 1. Introduction Expert systems provide a rich testbed from which to develop and test techniques for natural language processing. These systems capture the knowledge needed to solve real-world problems in their respective domains and that knowledge can and should be exploited for testing computational procedures for natural language processing. Parsing semantic interpretation dialog monitoring discourse organization and text generation are just a few of the language processing problems that might take advantage of the pre-structured semantic knowledge of an expert system. In particular the need for explanation generation facilities for expert systems provides an opportunity to explore the relationships between the underlying knowledge structures needed for automated reasoning and those needed for natural language processing. One such exploration was the development of an explanation generator for XSEL which is an expert system that helps a salesperson in producing a purchase order for a computer system 10 . This paper describes a technique called link-dependent message generation that forms the basis for explanation generation in XSEL. . Overview of XSEL Briefly the function of the XSEL system is to assist a salesperson in configuring a custom-tailored purchase order for a Digital Equipment Corporation VAX computer system. XSEL works with the salesperson to elicit the functional computing requirements of the individual customer and then goes on to select the components that best fit those requirements. The output of an XSEL session is a purchase order consisting of a list of line-items that specify hardware and software components. There are two main phases to XSEL s processing a fact gathering phase and a component selection phase. During the fact gathering phase XSEL carries on an interactive dialog with the .

• Báo cáo khoa học
• Structures in XSEL
• Karen Kukich
• 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