tailieunhanh - Báo cáo khoa học: "Functional Unification Grammar Revisited"

In this paper, we show that one benefit of FUG, the ability to state global conslralnts on choice separately from syntactic rules, is difficultin generation systems based on augmented context free grammars (., Def'mite Clause Cn'anmm~). They require that such constraints be expressed locally as part of syntactic rules and therefore,duplicated in the grammar. Finally, we discuss a reimplementation of l U g that achieves the similar levels of efficiency as Rubinoff's adaptation of M U M B L E , a detcrministc language generator. . | Functional Unification Grammar Revisited Kathleen R. McKeown and Cecile L. Paris Department of Computer Science 450 Computer Science Columbia University ______New York . 10027 MCKEOWN@ CECILE@ Abstract In this paper we show that one benefit of FUG the ability to state global constraints on choice separately from syntactic rules is difficult in generation systems based on augmented context flee grammars . Definite Clause Grammars . They require that such constraints be expressed locally as part of syntactic rules and therefore duplicated in the grammar. Finally we discuss a reimplementation of FUG that achieves the similar levels of efficiency as Rubinoffs adaptation of MUMBLE a deterministic language generator. 1 Introduction ___ Inefficiency of functional unification grammar FUG 5 has prompted some effort to show that the same benefits offered by FUG can be achieved in other formalisms more efficiently 3 14 15 16 . In this paper we show that one benefit of FUG the ability to concisely state global constraints on choice in generation is difficult in other formalisms in which we have written generation systems. In particular we show that a global constraint can be stated separately from syntactic rules in FUG while in generation systems based on augmented context free grammars . Definite Clause Grammars DCG 13 such constraints must be expressed locally as part of syntactic rules and therefore duplicated in the grammar. Finally we discuss a reimplementation of FUG in TAILOR 11 1ỊÍ that achieves the similar levels of efficiency as Rubmoff s adaptation 16 of MUMBLE 7 a deterministic language generator. Statement of Constraints Language generation can be viewed primarily as a problem of choice requiring decisions about which syntactic structures best express intent As a result much research in language generation has focused on identifying constraints on choice and it is important to be able to represent these constraints .

• Báo cáo khoa học
• Functional Unification Grammar Revisited
• Kathleen R
• McKeown
• Cecile L
• Paris
• 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
• 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