Hands-on Question Answering Systems with BERT Hands-on Question Answering Systems with BERT

Hands-on Question Answering Systems with BERT

Applications in Neural Networks and Natural Language Processing

    • $34.99
    • $34.99

Publisher Description

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 embeddingsApply neural networks and BERT for various NLP tasksDevelop a question-answering system from scratchTrain question-answering systems for your own data

GENRE
Science & Nature
RELEASED
2021
January 12
LANGUAGE
EN
English
LENGTH
199
Pages
PUBLISHER
Apress
SELLER
Springer Nature B.V.
SIZE
7.7
MB
Natural Language Processing with TensorFlow Natural Language Processing with TensorFlow
2022
Natural Language Processing Projects Natural Language Processing Projects
2021
Deep Learning for Natural Language Processing Deep Learning for Natural Language Processing
2022
Machine Reading Comprehension Machine Reading Comprehension
2021
Applied Natural Language Processing with Python Applied Natural Language Processing with Python
2018
Natural Language Processing Recipes Natural Language Processing Recipes
2021
Hands-on AIOps Hands-on AIOps
2022
Infrastructure-as-Code Automation Using Terraform, Packer, Vault, Nomad and Consul Infrastructure-as-Code Automation Using Terraform, Packer, Vault, Nomad and Consul
2021
FinOps : RoadMap to Cloud Efficiency: Mentoring Cloud and Finance Professionals to Drive Cloud Productivity (English Edition) FinOps : RoadMap to Cloud Efficiency: Mentoring Cloud and Finance Professionals to Drive Cloud Productivity (English Edition)
2022
Monitoring Microservices and Containerized Applications Monitoring Microservices and Containerized Applications
2020
Cognitive Virtual Assistants Using Google Dialogflow Cognitive Virtual Assistants Using Google Dialogflow
2020
Automation Through Chef Opscode Automation Through Chef Opscode
2014