Tutorial on Part-Of-Speech Tagging

NOTE: this tutorial is currently under construction!!

The aim of this tutorial is to help with the following:

• Understand what the Part-Of-Speec tagging task is
• Apply different machine learning algorithms to the problem: Logistic Regression, Support Vector Machines, CRF
• Understand the difference between algorithms that deal with individual instances and those that deal with sequences of instances.
• Understand how to generate additional features and use a window-based approach to classification
• Understand how to evaluate the quality of a learned model
• Understand how choosing the features and hyperparameters influences the quality of a learned model
• Apply neural network approaches to the problem
• Understand the influence of hyperparameters, network architecture and optimization strategy when using a neural network