tailieunhanh - Báo cáo khoa học: "Type-Driven Semantic Interpretation of f-Structures"

The formal architecture of Lexical Functional Grammar offers a particular formal device, the structural correspondence, for modularizing the mapping between the surface forms of a language and representations of their underlying meanings. This approach works well when the structural discrepancies between form and meaning representations are finitely bounded, but there are some phenomena in natural language, . adverbs in English, where this restriction does not hold. | Type-Driven Semantic Interpretation of f-Structures Jurgen Wedekind Institute for Natural Language Processing University of Stuttgart Azenbergstr. 12 D-7000 Stuttgart 1 FRG juergen@ Ronald M. Kaplan Xerox Palo Alto Research Center 3333 Coyote Hill Road Palo Alto California 94304 USA Abstract The formal architecture of Lexical Functional Grammar offers a particular formal device the structural correspondence for modularizing the mapping between the surface forms of a language and representations of their underlying meanings. This approach works well when the structural discrepancies between form and meaning representations are finitely bounded but there are some phenomena in natural language . adverbs in English where this restriction does not hold. In this paper we describe rule-based type-driven interpretation algorithms which cover cases of such a structural misalignment by exploiting a new descriptive device the restriction operator . The algorithms are set up in such a way that recursive rules can be derived for the interpretation of adjunct sets within a codescription approach see Kaplan and Wedekind 1993 for details . 1 Introduction In Kaplan and Bresnan 1982 Lexical Functional Grammar LFG was introduced as a grammatical formalism that assigns to a sentence entities of two different levels of representation a c-structure representing information on the structure of the phrases of a sentence and an f-structure which represents its underlying predicate-argument structure. The structures are set in correspondence by a function from the c-structure nodes constituents into the substructures of the f-structure. The f-structure is identified with the smallest structure that satisfies the f-description a description of the f-structure which is built up by instantiation of the annotations of the context-free rules and projected off the c-structure by the correspondence mapping. This architecture was then extended by Kaplan

• Báo cáo khoa học
• Type Driven Semantic
• Interpretation of f Structures
• Jiirgen Wedekind Ronald M
• Kaplan
• 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