Maximum-Entropy Markov Model (MEMM) Quiz
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Questions and Answers

What is the main purpose of a maximum-entropy Markov model (MEMM)?

  • To calculate the conditional probability of a sequence of labels given a sequence of observations (correct)
  • To generate random sequences of observations
  • To find the maximum entropy of a given set of observations
  • To analyze the independence of different observations

    • Where do MEMMs find applications in natural language processing?

  • Speech recognition
  • Part-of-speech tagging and information extraction (correct)
  • Semantic analysis
  • Machine translation

    • In what way does an MEMM extend a standard maximum entropy classifier?

  • By assuming that the unknown values to be learnt are connected in a Markov chain (correct)
  • By introducing additional random variables into the model
  • By assuming that the unknown values to be learnt are conditionally independent of each other
  • By eliminating the need for transition probabilities

    • Where does each transition probability in an MEMM come from?

    <p>A general distribution P(s | s', o)</p> Signup and view all the answers

    How is the conditional probability P(S1, …, Sn | O1, …, On) factored in an MEMM?

    <p>As the product of Markov transition probabilities</p> Signup and view all the answers

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