TAILIEUCHUNG - Báo cáo khoa học: "Classifying Biological Full-Text Articles for Multi-Database Curation"

In this paper, we propose an approach for identifying curatable articles from a large document set. This system considers three parts of an article (title and abstract, MeSH terms, and captions) as its three individual representations and utilizes two domain-specific resources (UMLS and a tumor name list) to reveal the deep knowledge contained in the article. An SVM classifier is trained and cross-validation is employed to find the best combination of representations. The experimental results show overall high performance. . | Classifying Biological Full-Text Articles for Multi-Database Curation Wen-Juan Hou Chih Lee and Hsin-Hsi Chen Department of Computer Science and Information Engineering National Taiwan University Taipei Taiwan wjhou clee @ hhchen@ Abstract In this paper we propose an approach for identifying curatable articles from a large document set. This system considers three parts of an article title and abstract MeSH terms and captions as its three individual representations and utilizes two domain-specific resources UMLS and a tumor name list to reveal the deep knowledge contained in the article. An SVM classifier is trained and cross-validation is employed to find the best combination of representations. The experimental results show overall high performance. 1 Introduction Organism databases play a crucial role in genomic and proteomic research. It stores the up-to-date profile of each gene of the species interested. For example the Mouse Genome Database MGD provides essential integration of experimental knowledge for the mouse system with information annotated from both literature and online sources Bult et al. 2004 . To provide biomedical scientists with easy access to complete and accurate information curators have to constantly update databases with new information. With the rapidly growing rate of publication it is impossible for curators to read every published article. Since fully automated curation systems have not met the strict requirement of high accuracy and recall database curators still have to read some if not all of the articles sent to them. Therefore it will be very helpful if a classification system can correctly identify the curatable or relevant articles in a large number of biological articles. Recently several attempts have been made to classify documents from biomedical domain Hirschman et al. 2002 . Couto et al. 2004 used the information extracted from related web resources to classify biomedical literature. Hou .

• Báo cáo khoa học
• Classifying Biological
• Full Text Articles
• Multi Database Curation
• scientific reports
• model language
• process natural language
• Biological imaging
• Pattern recognition algorithms
• Annotating gene expressions
• Classifying phenotypes
• Different biological problems
• Classifying the conditions of degradations of Kelingkan shawls
• Types of degradations of Kelingkan shawls
• Twenty two samples
• Chemical and biological damages
• Damaged objects in museum
• Multivariate analysis
• Physicochemical parameters
• Desirable flavour
• Especially premium honey
• Honey’s origin
• BMC Bioinformatics
• Transcriptome analysis
• Partial least square
• Single integrative analysis
• 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