State-of-the-Art Natural Language Processing
L. Ashok Kumar, D. Karthika Renuka · 2023
NLP with deep learning sequential models is a great combination. Many NLP use cases are effortlessly addressed with the help of sequential modeling algorithms like RNN, LSTM, attention, and transformer-based models. This chapter explores the fundamental concepts of sequence modeling with real-time NLP use cases in detail. Moreover, well-known examples of NLP problems such as machine translation and POS tagging are addressed using deep learning models. This chapter visualizes the workflow of attention-based models and their variants and illustrates with NLP applications.