Deep Learning for Natural Language Processing

Natural Language Processing (NLP)  is one of the most promising areas that  encompasses Artificial Intelligence, Linguistics, Cognition, Physics, Mathematics, logic etc. There has been a phenomenal growth in terms of techniques, models and applications during the last few years, such as the RNN based models like transformers; large language models like GPT-2, GPT-3; Alexa, Google's Search Engine, Google Machine Translation etc. This lecture introduces very briefly the fundamentals of NLP, its applications and deep learning based models for question-answering, machine translation, sentiment analysis and conversational AI. Some of the interesting topics that will be covered include aspect based sentiment analysis, empathetic conversational agent, low-resource machine translation and code-mixed question-answering