TAILIEUCHUNG - Báo cáo khoa học: "CAPTURING LINGUISTIC IN ANANNOTATED GENERALIZATIONS WITH METARULES PHRASE-STRUCTURE GRAMMAR"

The f o r m a l i s m consists o f two parts: 1. A declarative description phrase-structures and t h e i r translation. of basic associated additional syntactic semantic grammar. PSGs have efficient algorithms for parsing [3]. In a sense, all o f the work of transformations has been pushed off into a p r e - p r o c e s s i n g phase w h e r e new g r a m m a r rules are d e r i v e d . | CAPTURING LINGUISTIC GENERALIZATIONS WITH METARULES IN AN ANNOTATED PHRASE-STRUCTURE GRAMMAR Kurt Konolige SRI International 1 Introduction Computational models employed by current natural language understanding systems rely on phrase-structure representations of syntax. Whether implemented as augmented transition nets BNF grammars annotated phrase-structure grammars or similar methods a phrase-structure representation makes the parsing problem computationally tractable 7 . However phrase-structure representations have been open to the criticism that they do not capture linguistic generalizations that are easily expressed in transformational grammars. This paper describes a formalism for specifying syntactic and semantic generalizations across the rules of a phrase-structure grammar PSG . The formalism consists of two parts 1. A declarative description of basic syntactic phrase-structures and their associated semantic translation. 2. A set of metarules for deriving additional grammar rules from the basic set. Since metarules operate on grammar rules rather than phrase markers the transformational effect of metarules can be pre-computed before the grammar is used to analyze input. The computational efficiency of a phrase-structure grammar is thus preserved. Metarule formulations for PSGs have recently received increased attention in the linguistics literature especially in 4 which greatly influenced the formalism presented in this paper. Our formalism differs significantly from 4 in that the metarules work on a phrase-structure grammar annotated with arbitrary feature sets Annotated Phrase-structure Grammar or APSG 71 . Grammars for a large subset of English have been written using this formalism 91 and its computational viability has been demonstrated 6 . Because of the increased structural complexity of APSGs over PSGs without annotations new techniques for applying metarules to these structures are developed in this paper and the notion of a match between a .

• Báo cáo khoa học
• CAPTURING LINGUISTIC
• ANANNOTATED GENERALIZATIONS
• METARULES PHRASE STRUCTURE GRAMMAR
• 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