Toward a Unified Retrieval Outcome Analysis Framework for Cross-Language Information Retrieval Metadata
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- Main Title Toward a Unified Retrieval Outcome Analysis Framework for Cross-Language Information Retrieval
Author: Chen, JiangpingCreator Type: PersonalCreator Info: University of North Texas
Organizer of meeting: American Society for Information Science and TechnologyContributor Type: Organization
- Creation: 2005
- Content Description: This paper proposes a Retrieval Outcome Analysis Framework, or ROA Framework, to systematically evaluate retrieval performance of Cross-Language Information Retrieval systems.
- Physical Description: 11 p.
- Keyword: cross-language searches
- Keyword: search and retrieval systems
- Keyword: online language translators
- Keyword: retrieval performance evaluation
- Conference: Sixty-Eighth Annual Meeting of the American Society for Information Science and Technology (ASIS&T), 2005, Charlotte, North Carolina, United States
Name: UNT Scholarly WorksCode: UNTSW
Name: UNT College of InformationCode: UNTCOI
- Rights Access: public
- Archival Resource Key: ark:/67531/metadc132969
- Academic Department: Library and Information Science
- Display Note: Abstract: This paper proposes a Retrieval Outcome Analysis Framework, or ROA Framework, to systematically evaluate retrieval performance of Cross-Language Information Retrieval systems. The ROA framework goes beyond TREC-type retrieval evaluation methodology by including procedures focusing on individual queries, especially difficult queries. The framework is comprised of four interrelated components: (1) Overall System Performance Evaluation, (2) Query Categorization, (3) Translation Analysis, and (4) Individual Query Analysis. An example of applying the framework is discussed in detail. The author believes the proposed framework would be especially useful for the development of real world Cross-Language Information Retrieval systems because the evaluation guided by the framework has the potential to discover causes behind poor retrieval performance.