TAILIEUCHUNG - Báo cáo khoa học: "Empirical Study of Predictive Powers of Simple Attachment Schemes for Post-modifier Prepositional Phrases"

This study attempts to find answers to the question of how a computer program should resolve atThis empirical study attempts to find answers to the question of how a natural language (henceforth tachment by examining naturally occurring PP atNL) system could resolve attachment of preposi- tachments in a typed dialogue domain drawn from a study by Brunner, Whittemore, Ferrara, and Hsu tional phrases (henceforth PPs) by examining nat(1989). Various previously developed theories of urally occurring PP attachments in typed dialogue. . | Empirical Study of Predictive Powers of Simple Attachment Schemes for Post-modifier Prepositional Phrases Greg Whittemore Kathleen Ferrara Electronic Data Systems Corp. Texas A M University 5951 Jefferson Street . Albuquerque NM 87109-3432 Hans Brunner US West Advanced Technologies 6 June 1990 Abstract This empirical study attempts to find answers to the question of how a natural language henceforth NL system could resolve attachment of prepositional phrases henceforth PPs by examining naturally occurring pp attachments in typed dialogue. Examination includes testing predictive powers of existing attachment theories against the data. The result of this effort will be an algorithm for interpreting pp attachment. Introduction Difficulty in resolving structural ambiguity involving PPs arises because of the great variety of syntactic structures which PPs can modify and the varying distances PPs may be from the constituents with which they are associated. Simple schemes to resolve attachments utilize information drawn from reported tendencies in the human parsing mechanism such as the preference for PPs to attach to constituents that immediately precede them. It is always tempting to utilize such schemes in computer NL processors because they provide clear models for resolution that are both easy and cheap in terms of steps involved to implement. The problem with these schemes is that they can easily be made to fail by manipulating parameters that they know nothing about such as semantics context and intonation. Clearly more elaborate schemes for attachment resolution are needed but what these schemes should contain and how they should be implemented remain open. This study attempts to find answers to the question of how a computer program should resolve attachment by examining naturally occurring PP attachments in a typed dialogue domain drawn from a study by Brunner Whittemore Ferrara and Hsu 1989 . Various previously developed theories of PP attachment are tested

• Báo cáo khoa học
• Empirical Study of Predictive Powers
• Simple Attachment Schemes
• Post modifier Prepositional Phrases
• 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