Hands-on question answering systems with BERT : applications in neural networks and natural language processing / Navin Sabharwal and Amit Agrawal.
2021
QA76.87
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Linked Resource
Online Access
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Unlimited
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Authorized users
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Can lend chapters, not whole ebooks
Details
Title
Hands-on question answering systems with BERT : applications in neural networks and natural language processing / Navin Sabharwal and Amit Agrawal.
Author
Sabharwal, Navin, author.
ISBN
9781484266649 (electronic bk.)
1484266641 (electronic bk.)
1484266633
9781484266632
9781484266656 (print)
148426665X
9781484266632
1484266641 (electronic bk.)
1484266633
9781484266632
9781484266656 (print)
148426665X
9781484266632
Published
[Berkeley, California] : Apress, [2021]
Language
English
Description
1 online resource : illustrations
Item Number
10.1007/978-1-4842-6664-9 doi
Call Number
QA76.87
Dewey Decimal Classification
006.32
Summary
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. You will: 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.
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Access limited to authorized users.
Digital File Characteristics
text file
PDF
Source of Description
Online resource; title from PDF title page (EBSCO, viewed February 22, 2021).
Added Author
Agrawal, Amit, author.
Available in Other Form
1484266633
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Online Access
Record Appears in
Online Resources > Ebooks
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All Resources
Table of Contents
Introduction to Natural Language Processing
Neural Networks for Natural Language Processing
Introduction to Word Embeddings
BERT Algorithms Explained
BERT Model Applications : Question Answering System
BERT Model Applications : Other tasks
Future of BERT models.
Neural Networks for Natural Language Processing
Introduction to Word Embeddings
BERT Algorithms Explained
BERT Model Applications : Question Answering System
BERT Model Applications : Other tasks
Future of BERT models.