Abstract
We present a comparison of weak and distant supervision methods for producing proxy examples for supervised relation extraction. We find that knowledge-based weak supervision tends to outperform popular distance supervision techniques, providing a higher yield of positive examples and more accurate models.
Cite
CITATION STYLE
Soni, A., Viswanathan, D., Pachaiyappan, N., & Natarajan, S. (2016). A comparison ofweak supervision methods for knowledge base construction. In Proceedings of the 5th Workshop on Automated Knowledge Base Construction, AKBC 2016 at the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2016 (pp. 97–102). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/w16-1318
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