Artificial Intelligence and Robotics

General Objectives The goal of the course is to provide an overview of state-of-the-art natural language processing techniques and their applications. Specific Objectives Students will learn the principles of automatic language processing, understanding how machines can interpret, generate and respond to human language. This includes topics such as word representation, word and sense embeddings, neural architectures for NLP, machine translation, and more general text generation. Knowledge and Understanding -) Knowledge of neural network architectures, such as recurrent neural networks and Transformers, used for natural language processing. -) Knowledge of supervised and unsupervised learning methods in NLP.-) Knowledge of lexical and phrasal computational semantics techniques. -) Understanding of language models for interpreting and generating text. Applying knowledge and understanding: -) How to develop models for understanding language -) How to develop models for generating language -) How to use neural architectures for NLPAutonomy of Judgment. Autonomy of Judgment Students will be able to evaluate the effectiveness of NLP techniques in different applications. Communication Skills Students will be able to explain the principles and techniques of natural language processing. Next Study Abilities Students interested in research will discover what are the main open challenges in the area of NLP, obtaining the necessary foundation for more in-depth studies in the field.