Prodigy is a modern annotation tool for collecting training data for machine learning models, developed by the makers of spaCy. In this video, we'll show how you might be able to improve the annotation experience by leveraging sense2vec to pre-fill named entities.
[00:00] Introduction
[01:18] Video Games are Hard to Detect
[04:30] Introducing sense2vec
[06:56] sense2vec Live Demo
[08:58] sense2vec recipes
[11:18] Annotating Phrases
[15:04] Better Approach
[17:27] Implementation
[23:15] More Annotations
[26:55] Phrases as Results
[28:15] Highlighted Video Games
[31:25] Lessons Learned
PRODIGY
● Website & docs: https://prodi.gy
● Live demo: https://prodi.gy/demo
● Forum: https://support.prodi.gy
THIS TUTORIAL
● Interactive Sense2Vec demo: https://explosion.ai/demos/sense2vec
● Sense2Vec Blogpost: https://explosion.ai/blog/sense2vec-r...
● Sense2Vec GitHub Page: https://github.com/explosion/sense2vec
● Prodigy Teach Recipe: https://prodi.gy/docs/recipes#terms-t...
● Sense2Vec Teach Recipe: https://github.com/explosion/sense2ve...
● The code used in this tutorial: https://gist.github.com/koaning/f8a2c...
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