What does “real-world NLP” look like and how can students get ready for it?

Keynote at Teaching NLP 2021

Working on natural language processing for real-world applications requires more than just developing model implementations and evaluating them on existing datasets, or memorizing various library APIs. Often, what’s needed is an entirely different mindset: How can I break down complex business problems into machine learning components? How do I design my data to make the problem easier and get human experts involved? And how do I incorporate linguistic insights to find approaches that are more likely to succeed? In this talk, I’ll share some lessons we’ve learned from commercial use cases of our software, spaCy and Prodigy, and suggest ways we can teach applied NLP thinking and ship more successful projects.

Speaker: Ines Montani

Ines Montani is the co-founder of Explosion, co-developer of spaCy library for Natural Language Processing in Python, and lead developer of Prodigy, a modern annotation tool powered by active learning. She is also a fellow at the Python Software Foundation. Check out her Advanced NLP with spaCy interactive course. ([ Ссылка ])

свернуть