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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

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Product type Paperback
Published in Feb 2021
Publisher Packt
ISBN-13 9781800200937
Length 380 pages
Edition 1st Edition
Languages
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Authors (2):
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Tony Mullen Tony Mullen
Author Profile Icon Tony Mullen
Tony Mullen
Ashish Bansal Ashish Bansal
Author Profile Icon Ashish Bansal
Ashish Bansal
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Toc

Table of Contents (13) Chapters Close

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

Data loading and pre-processing

There are several summarization-related datasets available for training. These datasets are available through the TensorFlow Datasets or tfds package, which we have used in the previous chapters as well. The datasets that are available differ in length and style. The CNN/DailyMail dataset is one of the most commonly used datasets. It was published in 2015, with approximately a total of 1 million news articles. Articles from CNN, starting in 2007, and Daily Mail, starting in 2010, were collected until 2015. The summaries are usually multi-sentence. The Newsroom dataset, available from https://summari.es, contains over 1.3 million news articles from 38 publications. However, this dataset requires that you register to download it, which is why it is not used in this book. The wikiHow data set contains full Wikipedia article pages and the summary sentences for those articles. The LCSTS data set contains Chinese language data collected from Sina...

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