tailieunhanh - Báo cáo khoa học: "ENGLISH WORDS AND DATA BASES: HOW TO BRIDGE THE GAP"

If a . system tries to transform an English question directly into the simplest possible formulation of the corresponding data base query, discrepancies between the English lexicon and the structure of the data base cannot be handled well. To be able to deal with such discrepancies in a systematic way, the PHLIQAI system distinguishes different levels of semantic representation; it contains modules which translate from one level to another, as well as a module which simplifies expressions within one level. The paper shows how this approach takes care of some phenomena which would be problematic in a more simple-minded. | ENGLISH WORDS AND DATA BASES HOW TO BRIDGE THE GAP Remko . Scha Philips Research Laboratories Eindhoven The Netherlands ABSTRACT If a . system tries to transform an English question directly into the simplest possible formulation of the corresponding data base query discrepancies between the English lexicon and the structure of the data base cannot be handled well. To be able to deal with such discrepancies in a systematic way the PHLIQA1 system distinguishes different levels of semantic representation It contains modules which translate from one level to another as well as a module which simplifies expressions within one level. The paper shows how this approach takes care of some phenomena which would be problematic in a more simple-minded set-up. I INTRODUCTION If a question-answerIng system Is to cover a non-trivial fragment of its natural input-language and to allow for an arbitrarily structured data base It cannot assume that the syntactic semantic structure of an input question has much In common with the formal query which would formulate In terms of the actual data base structure what the desired information is. An important decision In the design of a . system is therefore how to embody in the system the necessary knowledge about the relation between English words and data base notions. Most existing programs however do not face this Issue. They accept considerable constraints on both the input language and the possible data base structures so as to be able to establish a fairly direct correspondence between the lexical Items of the Input language and the primitives of the data base which makes it possible to translate input questions into query expressions in a rather straightforward fashion. In designing the PHLIQA1 system bridging the gap between free English input and an equally unconstrained data base structure was one of the main goals. In order to deal with this problem in a systematic way different levels of semantic analysis are .

• Báo cáo khoa học
• ENGLISH WORDS
• DATA BASES
• HOW TO BRIDGE THE GAP
• scientific reports
• model language
• process natural language
• Dialog Control
• Natural Language System
• Dialog Control in a Natural Language System
• Expanding the Horizons
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• 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
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• Gary G
• Hendrlx and William H
• Lewis
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• Barbara J
• Grosz
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• Salveter David Maier
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• Kathleen R
• M
• MENTING A DATABASE
• KNOWLEDGE REPRESENTATION
• THE KEY TO THE SELECTION PROBLEM
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• Jeffrey Conklin David D
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• NATURAL LANGUAGE UNDERSTANDING
• Stuart C
• Shapiro
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