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Document Image Collection Using Amazon s Mechanical Turk

Published

Author(s)

Audrey N. Tong, Mark A. Przybocki

Abstract

We present findings from a collaborative effort aimed at testing the feasibility of using Amazon s Mechanical Turk as a data collection platform to build a corpus of document images. Experimental design and implementation workflow are described. Preliminary findings and directions for future work are also discussed.
Proceedings Title
Proceedings of the 11th Annual Conference of the North American Chapter of the Association for Computational Linguistics
Conference Dates
June 1-6, 2010
Conference Location
Los Angeles, CA
Conference Title
The 11th Annual Conference of the North American Chapter of the Association for Computational Linguistics

Citation

Tong, A. and Przybocki, M. (2010), Document Image Collection Using Amazon s Mechanical Turk, Proceedings of the 11th Annual Conference of the North American Chapter of the Association for Computational Linguistics , Los Angeles, CA, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=906834 (Accessed June 21, 2024)

Issues

If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.

Created June 4, 2010, Updated February 19, 2017