CrowdDA: Difficulty-aware crowdsourcing task optimization for cleaning web tables
Author:
Funder
National Key Research and Development Program of China
Publisher
Elsevier BV
Subject
Artificial Intelligence,Computer Science Applications,General Engineering
Reference36 articles.
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5. Chai, C., Li, G., Li, J., Deng, D., & Feng, J. (2016). Cost-Effective Crowdsourced Entity Resolution: A Partial-Order Approach. In ACM Conference on Management of Data SIGMOD, (pp. 969–984).
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