Deep Learning for NLP: From the Trenches with Charlene Chambliss

Today we’re joined by Charlene Chambliss, Machine Learning Engineer at Primer AI.

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Charlene, who we also had the pleasure of hosting at NLP Office Hours during TWIMLfest, is back to share some of the work she’s been doing with deep learning and NLP. In our conversation, we explore her experiences working with newer NLP models and tools like BERT and HuggingFace, as well as whats she’s learned along the way with word embeddings, labeling tasks, debugging, and more. We also focus on a few of her projects, like her popular multi-lingual BERT project, and a COVID-19 classifier. Finally, Charlene shares her experience getting into data science and machine learning coming from a non-technical background, and what the transition was like, and tips for people looking to make a similar shift.

Thanks to our Sponsor!

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Connect with Charlene!

• Twitter
• LinkedIn
• Personal Page

Resources

• Project: Multilingual BERT
• Primer
• Streamlit
• Paper: SpanBERT: Improving Pre-training by Representing and Predicting Spans
• Taming arXiv with Natural Language Processing w/ John Bohannon
• Pathologies of Neural Models and Interpretability with Alvin Grissom II

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• Check out our TWIML Presents: series page!
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“More On That Later” by Lee Rosevere licensed under CC By 4.0