TAILIEUCHUNG - Báo cáo khoa học: "Interactive Discourse: Looking t o the Future Panel "

In any technological field, both short-term and longterm research can be aided by considering where that technology might be ten, twenty, fifty years down the pike. In the field of natural language interactive systems, a 21 year vision is particularly apt to consider, since it brings us to the year 2001. One wellknown vision [I] of 2001 includes the famous computer named Hal - one offspring, so to speak, of the major theoretical and engineering breakthrough in computers that Clarke records as having occurred in the early 1980's. . | Interactive Discourse Looking to the Future Panel Chair s Introduction Bonnie Lynn Webber University of Pennsylvania In any technological field both short-term and longterm research can be aided by considering where that technology might be ten twenty fifty years down the pike. In the field of natural language Interactive systems a 21 year vision Is particularly apt to consider since It brings US to the year 2001. One well-known vision 1 of 2001 includes the famous computer named Hal - one offspring so to speak of the major theoretical and engineering breakthrough In computers that Clarke records as having occurred In the early 1980 s. This computer Hal Is able to understand and converse in perfect idiomatic English written and spoken with the crew of the spacecraft Discovery. And not just task-oriented dialogues mind you Hal is a far cry from today s prototype natural language query systems Intelligent CAI-systems diagnostic assistance systems and Kurzweil machines. For one thing Hal Is not just responsive he takes the Initiative. His first documented utterance on board the spacecraft Discovery comes at a time when the crewmen Bowman and Poole are engrossed In a fading vision screen Image of Poole s family on Earth on the occasion of Poole s birthday. Sorrv to interrupt the festivities said Hai but we have a problem. Not only can Hal converse in perfect idiomatic English but he is a master of problem context Panel 1 and social context Panel 2 as well Now Hal Is clearly where we currently are not at and 2001 is clearly only one man s vision albeit a very special man . Yet Clarke s depiction of Hal raises several issues which along with other ones provide a cue for the current panel discussion. The Issues Include 1. Where is it that we want to have must have can expect to have or conversely should not have to have Natural Language Interactive Systems 2. Barring Clarke s reliance on the triumph of automatic neural network generation what are the major hurdles that .

• Báo cáo khoa học
• Interactive Discourse
• Looking t o the Future Panel
• Long Papers
• scientific reports
• model language
• process natural language
• Influence of the Social Context
• Influence of Problem Context
• 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