Hands-On Natural Language Processing

Teaching

Kim Gerdes and Marc Evrard

Class hours

Thursday, 2:00 pm to 5:15 pm (fev-mar)

Prerequisite

• Basic Python programming experience
• Bachelor-level math (calculus, linear algebra, probabilities)
• Basic Machine Learning (ML) knowledge

Summary

A practical oriented class, where students discover Natural Language Processing techniques through practical applications.

Outline

• Morphology, Syntax
• Ngram, tf-idf
• Tagger POS
• Parser
• Vectorisation
• Introduction to Transformers

Assessment

Continuous assessment (CC): 100% * Weekly quizzes * Practical assignments