tailieunhanh - Báo cáo khoa học: "A COMMON FRAMEWORK FOR ANALYSIS AND GENERATION"

It seems highly desirable to use a single representation of linguistic knowledge for both analysis and generation. We argue that the only part of the average NL system's knowledge that we can have any faith in is its vocabulary and, to a lesser extent, its syntactic rules, and we investigate the consequences of this for generation. 1 ANALYSIS Consider a typical NLU system. You give it a piece of text, say: (1) The house I live in is damp. It grinds away, trying out syntactic rules until it has an analysis of the structure of the text. . | A COMMON FRAMEWORK FOR ANALYSIS AND GENERATION Allan Ramsay Department of Computer Science University College Dublin Belfield DUBLIN 4 Ireland ABSTRACT It seems highly desirable to use a single representation of linguistic knowledge for both analysis and generation. We argue that the only part of the average NL system s knowledge that we can have any faith in is its vocabulary and to a lesser extent its syntactic rules and we investigate the consequences of this for generation. 1 ANALYSIS Consider a typical NLU system. You give it a piece of text say 1 The house I live in is damp. It grinds away trying out syntactic rules until it has an analysis of the structure of the text. The syntactic rules incorporate a semantic element which automatically builds up a representation of the meaning of the text in some appropriate formal language something like the following presupp 3 B house B pre upp 3 c speaAer C 3 D state D live k agent D C 3 E . interval E contains E now during E D in D B 3 F condition F damp object F Bi 3 G inteTval G contains G now k auring G F Exactly what formal language you choose for the representation of meaning will depend on a number of things notably on the intended application if any of the system on the availability of automatic inference systems for the language in question and on the perceived need for expressive power. For the system that lies behind the discussion in this paper we chose a version of Turner s 1987 property theory. The details of property theory do not really matter very much here. What matters is that any attempt to give a complete formal paraphrase of 1 must include at least as much information as we have given above. In particular the logical structure of our paraphrases contains essential information about for instance the differences between objects which are introduced in the utterance and ones whose existence is presupposed even if there is still considerable debate about the best way of representing this information.

• Báo cáo khoa học
• A COMMON FRAMEWORK
• ANALYSIS AND GENERATION
• Workshops
• 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
• 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