Tutorial at EACL 2017
References and links

A bibliography of papers related to constrained conditional models and ILP inference

Key summary paper: M. Chang, L. Ratinov and D. Roth, Structured Learning with Constrained Conditional Models. Machine Learning Journal 2012.
 Key papers to cite:
 D. Roth and W. Yih, Global Inference for Entity and Relation Identification via a Linear Programming Formulation. Introduction to Statistical Relational Learning (2007)
 D. Roth and W. Yih, A Linear Programming Formulation for Global Inference in Natural Language Tasks. CoNLL 2004
 M. Chang and L. Ratinov and N. Rizzolo and D. Roth, Learning and Inference with Constraints. AAAI (2008)

A cookbookstyle summary of how to implement constraints: Forthcoming

A note on Setting up Global Inference as Integer Linear Programming by Scott Yih
 A note on how to use soft constraints by Vivek Srikumar