Large CRF
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A Large CRF is a Conditional Random Field with hundreds output labels and several billion features.
- AKA: Very Large CRF.
- See: Small CRF, Medium CRF.
References
2010
- (Lavergne et al., 2010) ⇒ Thomas Lavergne, Olivier Cappé, and François Yvon. (2010). “Practical Very Large Scale CRFs.” In: Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics. (ACL 2010)
- QUOTE: In this paper, we address the issue of training very large CRFs, containing up to hundreds output labels and several billion features. Efficiency stems here from the sparsity induced by the use of a l1 penalty term. Based on our own implementation, we compare three recent proposals for implementing this regularization strategy.