Hands-on Question Answering Systems With BERT: Applications in Neural Networks and Natural Language Processing
(eBook)

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Published
Apress, 2021.
Status
Available Online

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Format
eBook
Language
English
ISBN
9781484266649

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APA Citation, 7th Edition (style guide)

Navin Sabharwal., Navin Sabharwal|AUTHOR., & Amit Agrawal|AUTHOR. (2021). Hands-on Question Answering Systems With BERT: Applications in Neural Networks and Natural Language Processing . Apress.

Chicago / Turabian - Author Date Citation, 17th Edition (style guide)

Navin Sabharwal, Navin Sabharwal|AUTHOR and Amit Agrawal|AUTHOR. 2021. Hands-on Question Answering Systems With BERT: Applications in Neural Networks and Natural Language Processing. Apress.

Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)

Navin Sabharwal, Navin Sabharwal|AUTHOR and Amit Agrawal|AUTHOR. Hands-on Question Answering Systems With BERT: Applications in Neural Networks and Natural Language Processing Apress, 2021.

MLA Citation, 9th Edition (style guide)

Navin Sabharwal, Navin Sabharwal|AUTHOR, and Amit Agrawal|AUTHOR. Hands-on Question Answering Systems With BERT: Applications in Neural Networks and Natural Language Processing Apress, 2021.

Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.

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Grouped Work IDdc08129c-89ea-3b30-1202-371bbc371ae8-eng
Full titlehands on question answering systems with bert applications in neural networks and natural language processing
Authorsabharwal navin
Grouping Categorybook
Last Update2024-01-03 19:09:08PM
Last Indexed2024-03-27 03:24:49AM

Book Cover Information

Image Sourcehoopla
First LoadedNov 5, 2022
Last UsedNov 5, 2022

Hoopla Extract Information

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    [synopsis] => 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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