Practical AI

Modern NLP with spaCy

Dec 9, 2019

Ines Montani and Matthew Honnibal, core developers of the powerful NLP library spaCy and co-founders of Explosion AI, dive into the fascinating world of natural language processing. They share SpaCy's journey, highlighting its adoption and unique features. The duo discusses the critical role of data annotation and efficient tooling in machine learning, while demystifying complex NLP models using a four-step understanding framework. They also touch on practical workflows, ethical considerations, and the vibrant community surrounding NLP.

56:26

Creator website

Episode guests

Matthew Honnibal

Ines Montani

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Episode notes

Intro

2min

NLP Passion and SpaCy's Journey

12min

Enhancing NLP Workflows with Prodigy

2min

The Crucial Role of Data Annotation and Efficient Tooling in Machine Learning

5min

Decoding NLP Models

8min

Mastering NLP with spaCy

25min

Engaging with Fast AI and the NLP Community

2min

SpaCy is awesome for NLP! It’s easy to use, has widespread adoption, is open source, and integrates the latest language models. Ines Montani and Matthew Honnibal (core developers of spaCy and co-founders of Explosion) join us to discuss the history of the project, its capabilities, and the latest trends in NLP. We also dig into the practicalities of taking NLP workflows to production. You don’t want to miss this episode!

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Featuring:

Ines Montani – GitHub, X
Matthew Honnibal – GitHub, X
Chris Benson – Website, GitHub, LinkedIn, X
Daniel Whitenack – Website, GitHub, X

Show Notes:

Something missing or broken? PRs welcome!

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