Reading research papers is integral to staying current and advancing in the field of NLP. Research papers are a way…
When does it occur? How can you recognise it? And how to adapt your network to avoid the vanishing gradient…
What is the Elman neural network? Elman Neural Network is a recurrent neural network (RNN) designed to capture and store…
Self-attention is the reason transformers are so successful at many NLP tasks. Learn how they work, the different types, and…
What is a Gated Recurrent Unit? A Gated Recurrent Unit (GRU) is a Recurrent Neural Network (RNN) architecture type. It…
Text normalization is a key step in natural language processing (NLP). It involves cleaning and preprocessing text data to make…
What is Part-of-speech (POS) tagging? Part-of-speech (POS) tagging is fundamental in natural language processing (NLP) and can be done in…
Transformers Implementations in TensorFlow, PyTorch, Hugging Face and OpenAI's GPT-3 What are transformers in natural language processing? Natural language processing…
What is a question-answering System? Question answering (QA) is a field of natural language processing (NLP) and artificial intelligence (AI)…
What is the curse of variability? The curse of variability refers to the idea that as the variability of a…