Structured Estimation

Content

• Conditional Random Fields

  • Sequence annotation
  • Tagging
  • Semi-Markov models / sequence segmentation

• Max-Margin Estimation

  • Large Margin formulation
  • Scaled Margin variants
  • Approximate margin
  • Dual variants

• Applications

  • Segmentation
  • Annotation (gene finding, entity tagging)
  • F1/AUC score optimization
  • Ranking
  • Robust and invariant estimation

Supplementary material

See the syllabus for a detailed overview of the topics covered.