BLG 621 - Advanced Methods in Natural Language Processing

Course Objectives

1. to introduce statistical approaches used in natural language processing and understanding
2. to introduce machine learning approaches used in natural language processing and understanding
3. to introduce deep learning approaches used in natural language processing and understanding
4. to introduce evaluation methods used in the performance evaluation of natural Language Processing models

Course Description

Statistical methods (T-test, X2 test and mutual information) used in NLP, Hiddden Markov Models, Maximum Entropy Models, Conditional Random Fields , NLP architectures, Support Vector Machines, neural language models, textual representations, text classification, sequence labeling, encoder-decoder models, attention mechanisms, transformers. NLP tasks and their modeling