Smith and Eisner 2005:Contrastive Estimation: Training Log-Linear Models on Unlabeled Data
From Cohen Courses
Jump to navigationJump to searchContents
Citation
Smith, Noah A. and Jason Eisner (2005). Contrastive estimation: Training log-linear models on unlabeled data. Proceedings of the 43rd Annual Meeting of the Association for Computational Linguistics (ACL), pages 354-362, Ann Arbor, Michigan, June.
Online version
Summary
This is a crucial paper that presents an unsupervised estimation method for Conditional Random Fields, which can be easily applied to problems like Part of Speech Tagging.
