TAILIEUCHUNG - Báo cáo khoa học: "OTEPEETNHRSN"

The Association for Computational Linguistics is twenty years old. We have much to be proud of: a fine journal, significant annual meetings, and a strong presence in the professional community. Computational Linguistics, itself, has much to be proud of: influence in the research community, courses in universities, research support in government and industry, and attention in the popular press. Not to spoil the fun, but the same was true twenty years ago and the society and the field has had to go through some difficult times since then. To be sure, much has changed. The ACL has over 1200. | ON THE PRESENT Norman K. Sondheimer Sperry Uni vac Blue Bell PA 19424 USA The Association for Computational Linguistics is twenty years old. We have much to be proud of a fine journal significant annual meetings and a strong presence in the professional community. Computational Linguistics itself has much to be proud of influence in the research community courses in universities research support in government and industry and attention in the popular press. Not to spoil the fun but the same was true twenty years ago and the society and the field has had to go through some difficult times since then. To be sure much has changed. The ACL has over 1200 members. Computational Linguistics has many new facets and potential applications. However to an outsider we still appear to be a field with potential rather than one with achievement. Why is that There are certainly many reasons. One is the attractiveness of our most abstract theories. They are widely presented and receive the most scholarly attention. The popular and technical press contributes by publicizing our wilder claims and broadest hopes. Similarly the press oversells our current systems leading more careful observers to wonder even about these. Finally mechanizing the understanding of natural language is very difficult. We can not hope to achieve many of our goals in the near future. Making do with the technology now available is very frustrating. All this contributes to we the members of the field gravitating to theorizing and small laboratory studies. We are choosing to focus on the future rather than the present. There is a real danger in of affairs. The build up of public and institutional expectations without a corresponding emergence of useful systems will produce a counter reaction. We have seen it before. To this day machine translation research in the United States has not completely recovered. There is more need than ever there is more technology than before word processing and computer .

• Báo cáo khoa học
• OTEPEETNHRSN
• Norman K
• Sondheimer
• 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