Structured Prediction with Local Independence Assumptions (2/26/2019)
Content:
- Why Local Independence Assumptions?
- Conditional Random Fields
- Highly Recommended Reading: An Introduction to CRFs (Sutton and McCallum 2011)
- Reference: Bidirectional LSTM-CRF Models for Sequence Tagging (Huang et al. 2015)
- Reference: Conditional Random Fields (Lafferty et al. 2001)
- Reference: Minimum Risk Training for Neural MT (Shen et al. 2016)
- Reference: Globally Normalized Networks (Andor et al. 2016)
- Reference: Reward Augmented Maximum Likelihood (Norouzi et al. 2016)
- Reference: Softmax Q-Distribution Estimation (Ma et al. 2016)
- Reference: End-to-end Sequence Labeling with BiLSTM-CNN-CRF (Ma et al. 2016)
Slides: Local Independence Slides