In this paper, we investigate the practical applicability of Co-Training for the task of building a classifier for reference resolution. We are concerned with the question if Co-Training can significantly reduce the amount of manual labeling work and still produce a classifier with an acceptable performance.
CITATION STYLE
Müller, C., Rapp, S., & Strube, M. (2002). Applying co-training to reference resolution. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (Vol. 2002-July, pp. 352–359). Association for Computational Linguistics (ACL). https://doi.org/10.3115/1073083.1073142
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