https://github.com/dipanjans/live-manning-nlpconf20

Papers, code and slides for my session at the live@manning NLP conference, 2020 covering my talk on Deep Transfer Learning for Natural Language Processing
https://github.com/dipanjans/live-manning-nlpconf20

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Papers, code and slides for my session at the live@manning NLP conference, 2020 covering my talk on Deep Transfer Learning for Natural Language Processing

• Host: GitHub
• URL: https://github.com/dipanjans/live-manning-nlpconf20
• Owner: dipanjanS
• License: gpl-3.0
• Created: 2020-08-09T12:13:22.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2020-08-13T19:00:07.000Z (about 4 years ago)
• Last Synced: 2024-10-03T12:38:04.804Z (about 1 month ago)
• Language: Jupyter Notebook
• Size: 11.4 MB
• Stars: 36
• Watchers: 5
• Forks: 13
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# live@Manning Natural Language Processing Conference 2020

![](https://i.imgur.com/eX2fqR2.png)

# Conference Recording

[![Watch the video](https://i.imgur.com/gV5JYvD.gif)](https://www.youtube.com/watch?v=YdMBPKZpHas)

## Deep Transfer Learning for Natural Language Processing

Papers, code and slides for my session at the live@Manning NLP conference, 2020 covering my talk on Deep Transfer Learning for Natural Language Processing

The intent of this session is to journey through the recent advancements in deep transfer learning for NLP by taking a look at various state-of-the-art models and methodologies. These will include: 

- Pre-trained embeddings for Deep Learning Models (FastText with CNNs\Bi-directional LSTMs + Attention)

- Universal Embeddings (Sentence Encoders, NNLMs)

- Transformers (BERT, DistilBERT etc.)

We will also look at the power of some of these models, especially transformers with a couple of hands-on tutorials with code.

![](https://i.imgur.com/QD2BKW7.png)

## Powered By:

![](https://i.imgur.com/cllEHm0.png)