EAN: 9781484266632

HANDS-ON QUESTION ANSWERING SYSTEMS WITH BERT -...

Get hands-on knowledge of how BERT (Bidirectional Encoder Representations from Transformers)
can be used to develop question answering (QA) systems by using natural language processing
(NLP) and deep learning. The book begins with an overview of the technology landscape behind
BERT. It takes you through the basics of NLP  including natural language understanding with
tokenization  stemming  and lemmatization  and bag of words. Next  you'll look at neural
networks for NLP starting with its variants such as recurrent neural networks  encoders and
decoders  bi-directional encoders and decoders  and transformer models. Along the way  you'll
cover word embedding and their types along with the basics of BERT. After this solid foundation
you'll be ready to take a deep dive into BERT algorithms such as masked language models and
next sentence prediction. You'll see different BERT variations followed by a hands-on example
of a question answering system. Hands-on Question Answering Systems with BERT is a good
starting point for developers and data scientists who want to develop and design NLP systems
using BERT. It provides step-by-step guidance for using BERT. What You Will Learn Examine the
fundamentals of word embeddings Apply neural networks and BERT for various NLP tasks Develop a
question-answering system from scratch Train question-answering systems for your own data Who
This Book Is For AI and machine learning developers and natural language processing developers.

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