• Named-Entity Recognition based on Neural Networks (22 Oct 2018)
    This blog post reviews some of the recently proposed methods to perform named-entity recognition using neural networks.

  • Conditional Random Fields for Sequence Prediction (13 Nov 2017)
    An introduction to Linear-Chain Conditional Random Fields, explaining what was the motivation behind its proposal and making a comparison with two other sequence models, Hidden-Markov Model, and Maximum Entropy Markov Model.

  • Maximum Entropy Markov Models and Logistic Regression (12 Nov 2017)
    This blog post is an introduction to Maximum Entropy Markov Model, it points out the fundamental difference between discriminative and generative models, and what are the main advantages of the Maximum Entropy Markov Model over the Naive Bayes model.

  • Hidden Markov Model and Naive Bayes relationship (11 Nov 2017)
    An introduction to Hidden Markov Models, one of the first proposed algorithms for sequence prediction, and its relationships with the Naive Bayes approach.