| Test collection management and labeling system |
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Document Engineering
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Proceedings of the 9th ACM symposium on Document engineering
table of contents
Munich, Germany
SESSION: Experiments and methodology
table of contents
Pages: 39-42
Year of Publication: 2009
ISBN:978-1-60558-575-8
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Downloads (6 Weeks): 14, Downloads (12 Months): 25, Citation Count: 1
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ABSTRACT
In order to evaluate the performance of information retrieval and extraction algorithms, we need test collections. A test collection consists of a set of documents, a clearly formed problem that an algorithm is supposed to provide solutions to, and the answers that the algorithm should produce when executed on the documents. Defining the association between elements in the test collection and answers is known as labeling. For mainstream information retrieval problems, there are publicly available test collections which have been maintained for years. However, the scope of these problems, and thus the associated test collections, is limited. In other cases, researchers need to build, label, and manage their own test collections, which can be a tedious and error-prone task. We were building test collections of HTML documents, for problems in which the answers that the algorithm supplies is a sub-tree of the DOM (Document Object Model). To lighten the burden of this task, we developed a test collection management and labeling system (TCMLS), to facilitate usability in the process of building test collections, applying them to validate algorithms, and potentially sharing them across the research community.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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Cai, D., Yu, S., Wen, J. R.&Ma, W. Y., VIPS: a Vision-based Page Segmentation Algorithm, Microsoft Technical Report, MSR-TR-2003-79, 2003.
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4
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DOM Inspector, Mozilla, http://www.mozilla.org/projects/inspector/, last visited 12/13/2007.
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Fox, E. A., Characterization of two new experimental collections in computer and information science containing textual and bibliographical concepts, Technical Report 83-561, Cornell University, Department of Computer Science, Ithaca, NY, 1983.
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JTidy, http://jtidy.sourceforge.net/, last visited 01/08/2008.
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Ying Liu , Kun Bai , Prasenjit Mitra , C. Lee Giles, TableSeer: automatic table metadata extraction and searching in digital libraries, Proceedings of the 7th ACM/IEEE-CS joint conference on Digital libraries, June 18-23, 2007, Vancouver, BC, Canada
[doi> 10.1145/1255175.1255193]
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Newsblaster, http://www.newsblaster.com/, last visited 04/22/2009.
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Slaughter, L., Marchionini, G., Geisler, G., Open video: A framework for a test collection, Journal of Network and Computer Applications, 23(3), 2000, pp. 219--245.
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Text REtrieval Conference (TREC), http://trec.nist.gov/, last visited 01/18/2008.
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TREC Video Retrieval Evaluation (TRECVID), http://www-nlpir.nist.gov/projects/trecvid/, last visited 04/22/2009.
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W3C, Document Object Model (DOM) Level 2 Core Specification, http://www.w3.org/TR/2000/REC-DOM-Level-2-Core-20001113/, 2000.
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15
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XML Path Language (XPath), http://www.w3.org/TR/xpath, last visited 04/22/2009.
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