TAILIEUCHUNG - Báo cáo khoa học: "Entity-Oriented Parsing"

An entity-oriented approach to restricted-domain parsing is proposed, In this approach, the definitions of the structure and surface representation of domain entities are grouped together. Like semantic grammar, this allows easy exploitation of limited dolnain semantics. In addition, it facilitates fragmentary recognition and the use of multiple parsing strategies, and so is particularly useful for robust recognition of extragrammatical input. | Entity-Oriented Parsing Philip J. Hayes Computer Science Department Carnegie-Mellon University Pittsburgh PA 15213 USA Abstract An entity-oriented approach to restricted-domain parsing is proposed. In this approach the definitions of the structure and surface representation of domain entities are grouped together. Like semantic grammar this allows easy exploitation of limited domain semantics. In addition it facilitates fragmentary recognition and the use of multiple parsing strategies and so is particularly useful for robust recognition of extragrammatical input. Several advantages from the point of view of language definition are also noted. Representative samples from an entity-oriented language definition are presented along with a control structure for an entity-oriented parser some parsing strategies that use the control structure and worked examples of parses. A parser incorporating the control structure and the parsing strategies is currently under implementation. 1. introduction The task of typical natural language interface systems is much simpler than the general problem of natural language understanding. The simplifications arise because 1. the systems operate within a highly restricted domain of discourse so that a precise set of object types can be established and many of the ambiguities that come up in more general natural language processing can be ignored or constrained away 2. even within the restricted domain of discourse a natural language interface system only needs to recognize a limited subset of all the things that could be said the subset that its back-end can respond to. The most commonly used technique to exploit these limited domain constraints is semantic grammar 1 2 9 in which semantically defined categories such as ship or Chipattribute are used in a grammar usually ATN based in place of syntactic categories such as noun or adjectivo . While semantic grammar has been very successful in exploiting limited domain constraints to reduce .

• Báo cáo khoa học
• Entity Oriented Parsing
• Philip J
• Hayes
• Long Papers
• 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
• 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