Machine Learning applied to Natural Language Processing Toolkit used in the Lisbon Machine Learning Summer School
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README.md

Summary

Machine learning toolkit for natural language processing. Written for Lisbon Machine Learning Summer School (lxmls.it.pt). This covers

  • Scientific Python and Mathematical background
  • Linear Classifiers
  • Sequence Models
  • Structured Prediction
  • Syntax and Parsing
  • Feed-forward models in deep learning
  • Sequence models in deep learning

Instructions for Students

  • Use the student branch not this one!

  • You do not need to run setup.py or pip install, read instructions in the Day 0 chapter of the LXMLS guide.

Instructions for non Students

Feel free to install the toolkit with

pip install .

Bear in mind that the main purpose of the toolkit is educative. You may resort to other toolboxes if you are looking for efficient implementations of the algorithms described.