Relevance Model


Contents:

  1. Bernoulli sets vs. multinomial urns
  2. The sampling game
  3. Probability for a set of words
  4. Bayesian interpretation
  5. Summary of assumptions
  6. Cross-language estimation
  7. Ranking functions