TAILIEUCHUNG - Báo cáo khoa học: "SOLUTIONS TO ISSUES DEPEND ON THE KNOWLEDGE REPRESENTATION"

Although ultimately intended functions include text generation (., 4), present efforts focus on text analysis: developing the capability to take in essentially unconstrained business text and to output grammar and style critiques, on a sentence by sentence basis. Briefly, we use a large on-line dictionary and a bottom-up parser in connection with an Augmented Phrase Structure Grammar (5) to obtain an approximately correct structural description of the surface t e x t (., we posit no transformations or recovery of deleted material to infer underlying "deep" structures). . | SOLUTIONS TO ISSUES DEPEND ON THE KNOWLEDGE REPRESENTATION Frederick B. Thompson California Institute of Technology Pasadena California In organizing this panel our Chairman Bob Moore expressed the view that too often discussion of natural language access to data bases has focused on what particular systems can or cannot do rather than on underlying issues. He then admirably proceeded to organize the panel around issues rather than systems. In responding I attempted to frame my remarks on each of his five issues in a general way that would not reflect My own parochial experience and interest. At one point I thought that I had succeeded quite well. However after taking a clearer eyed view it was apparent that my remarks reflected assumptions about knowledge represen tat 1 on that were by no means universal. This suggests a sixth issue which I would like to nominatei Are there really useful generalizations about computational linguistic Issues that are independent of assumptions concerning knowledge representation I will come back to this sixth issue after discussing the five chosen by our Chairman. Issue and Quantity Quest Ions First let us cast this issue in a somewhat different way. In many data base situations there are classs of individuals all of whose Members share the vame attributes and thus from the point of view of the data base are Indistinguishable. Thus there is no need to add all of these individuals as separate entities. To use Bob Moore s example if a DEPARTMENT file has a field for NUMBER-OF-EMPLOYEES it stands to reason that the particular individuals who actually existed in the various departments would not be separately represented in the database for otherwise there would be a redundancy whose consistency would be hard to police . In such situations we need the notion of a collective namely a single data base object that takes the place of a number of individuals and which can carry their common attributes together with one .

• Báo cáo khoa học
• SOLUTIONS TO ISSUES DEPEND
• THE KNOWLEDGE REPRESENTATION
• Frederick B
• 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
• 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