TAILIEUCHUNG - Báo cáo khoa học: "Effect of Utilizing Terminology on Extraction of Protein-Protein Interaction Information from Biomedical Literature"

As the amount of on-line scientific literature in the biomedical domain increases, automatic processing has become a promising approach for accelerating research. We are applying syntactic parsing trained on the general domain to identify proteinprotein interactions. One of the main difficulties obstructing the use of language processing is the prevalence of specialized terminology. Accordingly, we have created a specialized dictionary by compiling on-line glossaries, and have applied it for information extraction. We conducted preliminary experiments on one hundred sentences, and compared the extraction performance when (a) using only a general dictionary and (b) using this plus our specialized dictionary | Effect of utilizing Terminology on Extraction of Protein-Protein Interaction Information from Biomedical Literature Junko Hosaka Genomic Sciences Center Suehiro cho 1 7 Tsurumi-ku Yokohama. Kanagawa Japan jhosaka@ Judice LA7. Koh Institute tor Infocomm Research 21 Heng Mui Keng Terrace Singapore 119611 judicc@ Akihiko Konagaya Genomic Sciences Center Suehiro cho I 7 22 Tsurumi-ku Yokohama. Kanagawa Japan konagaya@ Abstract As the amount of on-line scientific literature in the biomedical domain increases automatic processing has become a promising approach for accelerating research. We are applying syntactic parsing trained on he general domain to identify proteinprotein interactions. One of the main difficulties obstructing the use of language processing is the prevalence of specialized terminology. Accordingly we have created a specialized dictionary by compiling on-line glossaries and have applied it for information extraction. We conducted preliminary experiments on one hundred sentences and compared the extraction performance when a using only a general dictionary and b using this plus our specialized dictionary. Contrary to our expectation using only the general dictionary resulted in better performance recall precision than with the terminology-based approach recall precision . 1 Introduction With the increasing amount of on-line literature in the biomedical domain research can be greatly accelerated by extracting information automatically from text resources. Approaches to automatic extraction have used co-occurrence Jenssen 2001 full parsing Yakushiji 2001 manually built templates Blaschke. 2001 and a natural language system developed for a neighboring domain with modifications . regarding semantic categories Friedman 2001 . In order to extract information such as proteinprotein interactions from scientific text it is insufficient to check only co-occurrences. .

• Báo cáo khoa học
• Effect of Utilizing Terminology
• Extraction of Protein Protein Interaction Information
• Biomedical Literature
• 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