TAILIEUCHUNG - Báo cáo khoa học: "Similarity between Words Computed by Spreading Activation on an English Dictionary"

This paper proposes a method for measuring semantic similarity between words as a new tool for text analysis. The similarity is measured on a semantic network constructed systematically from a subset of the English dictionary, LDOCE (Long-man Dictionary of Contemporary English). Spreading activation on the network can directly compute the similarity between any two words in the Longman Defining Vocabulary, and indirectly the similarity of all the other words in LDOCE. | Similarity between Words Computed by Spreading Activation on an English Dictionary Hideki Kozima Course in Computer Science and Information Mathematics Graduate School University of Electro-Communications 1-5-1 Chofugaoka Chofu Tokyo 182 Japan Teiji Furugori Department of Computer Science and Information Mathematics University of Electro-Communications 1-5-1 Chofugaoka Chofu Tokyo 182 Japan Tel. 81-424-83-2161 Abstract This paper proposes a method for measuring semantic similarity between words as a new tool for text analysis. The similarity is measured on a semantic network constructed systematically from a subset of the English dictionary LDOCE Longman Dictionary of Contemporary English . Spreading activation on the network can directly compute the similarity between any two words in the Longman Defining Vocabulary and indirectly the similarity of all the other words in LDOCE. The similarity represents the strength of lexical cohesion or semantic relation and also provides valuable information about similarity and coherence of texts. 1 Introduction A text is not just a sequence of words but it also has coherent structure. The meaning of each word in a text depends on the structure of the text. Recognizing the structure of text is an essential task in text understanding. Grosz and Sidner 1986 One of the valuable indicators of the structure of text is lexical cohesion. Halliday and Hasan 1976 Lexical cohesion is the relationship between words classified as follows 1. Reiteration Molly likes cats. She keeps a cat. 2. Semantic relation a. Desmond saw a cat. It was Molly s pet. . b. Molly goes to the north. Not east. c. Desmond goes to a theatre. He likes films. Reiteration of words is easy to capture by morphological analysis. Semantic relation between words which is the focus of this paper is hard to recognize by computers. We consider lexical cohesion as semantic similarity between words. Similarity

• Báo cáo khoa học
• Similarity between Words Computed
• Spreading Activation on an English Dictionary
• Hideki Kozima
• 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