CMU Neural Nets for NLP 2020 - Multitask and Multilingual Learning

CMU Neural Nets for NLP 2020 - Multitask and Multilingual Learning

Explore multitask and multilingual learning in natural language processing through this comprehensive lecture from CMU's Neural Networks for NLP course. Delve into the fundamentals of multi-task learning, examining various methods and objectives specific to NLP. Investigate multilingual learning techniques, including multi-lingual sequence-to-sequence models and pre-training approaches. Learn about challenges in fully multi-lingual learning, such as data balancing and cross-lingual transfer. Discover strategies for handling languages with different scripts and implementing zero-shot transfer to new languages. Gain insights into data creation and active learning for obtaining in-language training data.