TAILIEUCHUNG - Báo cáo khoa học: "NOUN CLASSIFICATION FROM PREDICATE.ARGUMENT STRUCTURES"

A method of determining the similarity of nouns on the basis of a metric derived from the distribution of subject, verb and object in a large text corpus is described. The resulting quasi-semantic classification of nouns demonstrates the plausibility of the distributional hypothesis, and has potential application to a variety of tasks, including automatic indexing, resolving nominal compounds, and determining the scope of modification. 1. I N T R O D U C T I O N A variety of linguistic relations apply to sets of semantically similar words. . | NOUN CLASSIFICATION FROM PREDICATE-ARGUMENT STRUCTURES Donald Kindle AT T Bell Laboratories 600 Mountain Avenue Murray Hill NJ 07974 ABSTRACT A method of determining the similarity of nouns on the basis of a metric derived from the distribution of subject verb and object in a large text corpus is described. The resulting quasi-sent an tic classification of nouns demonstrates the plausibility of the distributional hypothesis and has potential application to a variety of tasks including automatic indexing resolving nominal compounds and determining the scope of modification. 1. INTRODUCTION A variety of linguistic relations apply to sets of semantically similar words. For example modifiers select semantically similar nouns selectional restrictions are expressed in terms of the semantic class of objects and semantic type restricts the possibilities for noun compounding. Therefore it is useful to have a classification of words into semantically similar sets. Standard approaches to classifying nouns in terms of an is-a hierarchy have proven hard to apply to unrestricted language. Is-a hierarchies are expensive to acquire by hand for anything but highly restricted domains while attempts to automatically derive these hierarchies from existing dictionaries have been only partially successful Chodorow Byrd and Heidom 1985 . This paper describes an approach to classifying English words according to the predicate-argument structures they show in a corpus of text. The general idea is straightforward in any natural language there are restrictions on what words can appear together in the same construction and in particular on what can be arguments of what predicates. For nouns there is a restricted set of verbs that it appears as subject of or object of. For example wine may be drunk produced and sold but not pruned. Each noun may therefore be characterized according to the verbs that it occurs with. Nouns may then be grouped according to the extent to which they appear in .

• Báo cáo khoa học
• NOUN CLASSIFICATION
• PREDICATE
• ARGUMENT STRUCTURES
• Donald Hindle
• scientific reports
• model language
• process natural language
• Semantic Classification of Noun Phrases
• Web Counts
• Learning Algorithms
• báo cáo khoa học
• mô hình ngôn ngữ
• xử lý ngôn ngữ tự nhiên
• AUTOMATIC NOUN
• CLASSIFICATION BY USING
• Naomi Inoue
• 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