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 cookbook-style 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