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Advanced Natural Language Processing with TensorFlow 2

You're reading from Advanced Natural Language Processing with TensorFlow 2 Build effective real-world NLP applications using NER, RNNs, seq2seq models, Transformers, and more

Product type Paperback

Published in Feb 2021

Publisher Packt

ISBN-13 9781800200937

Length 380 pages

Edition 1st Edition

Languages

Processing

Tools

Processing

Concepts

Mobile Application Development

Authors (2):

Tony Mullen

Ashish Bansal

View More author details

Table of Contents (13) Chapters

Preface

1. Essentials of NLP

2. Understanding Sentiment in Natural Language with BiLSTMs FREE CHAPTER

3. Named Entity Recognition (NER) with BiLSTMs, CRFs, and Viterbi Decoding

4. Transfer Learning with BERT

5. Generating Text with RNNs and GPT-2

6. Text Summarization with Seq2seq Attention and Transformer Networks

7. Multi-Modal Networks and Image Captioning with ResNets and Transformer Networks

8. Weakly Supervised Learning for Classification with Snorkel

9. Building Conversational AI Applications with Deep Learning

10. Installation and Setup Instructions for Code

11. Other Books You May Enjoy

12. Index

Loading the data

Data can be downloaded from the University of Groningen website as follows:

# alternate: download the file from the browser and put # in the same directory as this notebook
!wget https://gmb.let.rug.nl/releases/gmb-2.2.0.zip
!unzip gmb-2.2.0.zip

Please note that the data is quite large – over 800MB. If wget is not available on your system, you may use any other tool such as, curl or a browser to download the data set. This step may take some time to complete. If you have a challenge accessing the data set from the University server, you may download a copy from Kaggle: https://www.kaggle.com/bradbolliger/gmb-v220. Also note that since we are going to be working on large data sets, some of the following steps may take some time to execute. In the world of Natural Language Processing (NLP), more training data and training time is key to great results.

All the code for this example can be found in the NER with BiLSTM and CRF.ipynb notebook...

The rest of the chapter is locked

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Authors (2)

Mullen

Mullen

See other products by Mullen

Ashish Bansal

Ashish Bansal

Ashish is an AI/ML leader, a well-known speaker, and an astute technologist with over 20 years of experience in the field. He has a Bachelor's in technology from IIT BHU, and an MBA in marketing from Kellogg School of Management. He is currently the Director of Recommendations at Twitch where he works on building scalable recommendation systems across a variety of product surfaces, connecting content to people. He has worked on recommendation systems at multiple organizations, most notably Twitter where he led Trends and Events recommendations and at Capital One where he worked on B2B and B2C products. Ashish was also a co-founder of GALE Partners, a full-service digital agency in Toronto, and spent over 9 years at SapientNitro, a leading digital agency.

See other products by Ashish Bansal

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