Book Image

Transformers for Natural Language Processing

By : Denis Rothman
Book Image

Transformers for Natural Language Processing

By: Denis Rothman

Overview of this book

The transformer architecture has proved to be revolutionary in outperforming the classical RNN and CNN models in use today. With an apply-as-you-learn approach, Transformers for Natural Language Processing investigates in vast detail the deep learning for machine translations, speech-to-text, text-to-speech, language modeling, question answering, and many more NLP domains with transformers. The book takes you through NLP with Python and examines various eminent models and datasets within the transformer architecture created by pioneers such as Google, Facebook, Microsoft, OpenAI, and Hugging Face. The book trains you in three stages. The first stage introduces you to transformer architectures, starting with the original transformer, before moving on to RoBERTa, BERT, and DistilBERT models. You will discover training methods for smaller transformers that can outperform GPT-3 in some cases. In the second stage, you will apply transformers for Natural Language Understanding (NLU) and Natural Language Generation (NLG). Finally, the third stage will help you grasp advanced language understanding techniques such as optimizing social network datasets and fake news identification. By the end of this NLP book, you will understand transformers from a cognitive science perspective and be proficient in applying pretrained transformer models by tech giants to various datasets.
Table of Contents (16 chapters)
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Analyzing Fake News with Transformers

We were all born thinking that the Earth was flat. As babies, we crawled on flat surfaces. As kindergarten children, we played on flat playgrounds. In elementary school, we sat in flat classrooms. Then, our parents and teachers told us that the Earth was round and that the people on the other side of it were upside down. It took us quite a while to understand why they did not fall off the Earth. Even today, when we see a beautiful sunset, we still see the "sun set" and not the Earth rotate away from the sun!

It takes time and effort to figure out what is fake news and what isn't. Like children, we have to work our way through something we perceive as fake news.

In this chapter, we will tackle the hot topics of the day. We will work on checking the facts on topics such as climate change, gun control, and Donald Trump's Tweets. We will analyze Tweets, Facebook posts, and other sources of information.