Machine Learning for Sequential Data: A Comparative Study with Applications to Natural Language Processing

Posted in Science on September 07, 2008


Machine Learning for Sequential Data: A Comparative Study with Applications to Natural Language Processing

Lecture slides:

  • Machine learning for sequential data:
  • Predicting label sequences
  • Sequences in NLP
  • Machine learning methods
  • Benchmark data sets
  • Case study:
  • Learning method
  • Sequence prediction methods
  • Features
  • Results
  • Observations
  • Recurrent sliding window
  • Ratnaparkhi's conditional markov models
  • FAQ segmentation
  • Results
  • Discussion
  • Results

Author: Sandor Canisius, University Of Tilburg

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