TAILIEUCHUNG - Báo cáo khoa học: "AN ASSESSMENT EXTRACTED OF SEMANTIC INFORMATION FROM MACHINE READABLE AUTOMATICALLY DICTIONARIES"

In this paper we provide a quantitative evaluation of information automatically extracted from machine readable dictionaries. Our results show that for any one dictionary, 55-70% of the extracted information is garbled in some way. However, we show that these results can be dramatically reduced to about 6% by combining the information extracted from five dictionaries. It therefore appears that even if individual dictionaries are an unreliable source of semantic information, multiple dictionaries can play an important role in building large lexical-semantic databases. . | AN ASSESSMENT OF SEMANTIC INFORMATION AUTOMATICALLY EXTRACTED FROM MACHINE READABLE DICTIONARIES Jean Véronis1-2and Nancy Ide1 Department of Computer Science VASSAR COLLEGE Poughkeepsie New York 12601 . troupe Rcprésentation et Traitemcnt des Connaissanccs CENTRE National DE LA RECHERCHE SCIENTIFIQUE 31 Ch. Joseph Aiguier 13402 Marseille Cedex 09 France ABSTRACT In this paper we provide a quantitative evaluation of information automatically extracted from machine readable dictionaries. Our results show that for any one dictionary 55-70 of the extracted information is garbled in some way. However we show that these results can be dramatically reduced to about 6 by combining the information extracted from five dictionaries. It therefore appears that even if individual dictionaries are an unreliable source of semantic information multiple dictionaries can play an important role in building large lexical-semantic databases. I. INTRODUCTION In recent years it has become increasingly clear that die limited size of existing computational lexicons and the poverty of the semantic information they contain represents one of the primary bottlenecks in the development of realistic natural language processing NLP systems. The need for extensive lexical and semantic databases is evident in the recent initiation of a number of projects to construct massive generic lexicons for NLP project GENELEX in Europe or EDR in Japan . The manual construction of large lexical-semantic databases demands enormous human resources and there is a growing body of research into the possibility of automatically extracting at least a part of the required lexical and semantic information from everyday dictionaries. Everyday dictionaries arc obviously not structured in a way that enables their immediate use in NLP systems but several studies have shown that relatively simple procedures can be used to extract taxonomies and various other semantic relations for example Amsler 1980 Calzolari 1984 .

• Báo cáo khoa học
• AN ASSESSMENT EXTRACTED
• SEMANTIC INFORMATION
• MACHINE READABLE
• AUTOMATICALLY DICTIONARIES
• scientific reports
• model language
• process natural language
• Biodegradable composite
• Mechanical property
• Lignin extracted from biomass
• Eco friendly composite based
• Polyvinyl alcohol
• 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