The University of Cyprus's course on Natural Language Processing is part of the Master programmes in Artificial Intelligence 4 Careers in Europe (MAI4CAREU). One of Master's programme's courses is split up into several lectures and is taught by Demetris Paschalides from the Department of Computer Science, whose research interest is focused on the use of Natural Language Processing (NLP) and Machine Learning (ML) to address social and ethical challenges. This second part of the lecture in Vector Semantics continues to delve into the practical and theoretical aspects of word embeddings within Natural Language Processing.

Learning outcomes

• Constructing word embeddings methods from the Word2Vec framework
  • Skip-gram
  • Continuous Bag of Words (CBOW)
• Embeddings in modern computational linguistics

Course outlines

The Natural Language Processing course is divided into 7 subsections:

1. Text Pre-processing
2. Language Modeling
3. Text Classification
4. Word Vector Representation
5. Distributed Contextual Embeddings
6. Application of NLP in:
   1. Hate-speech Identification
   2. Fake News Detection
   3. Political Polarization
7. Introduction to Large Language Models