78. Where do corpora come from?, with Matt Honnibal and Ines Montani

Most NLP projects rely crucially on the quality of annotations used
for training and evaluating models. In this episode, Matt and Ines
of Explosion AI tell us how Prodigy can improve data annotation and
model development workflows. Prodigy is an annotation tool
implemented as a python library, and it comes with a web
application and a command line interface. A developer can define
input data streams and design simple annotation interfaces. Prodigy
can help break down complex annotation decisions into a series of
binary decisions, and it provides easy integration with spaCy
models. Developers can specify how models should be modified as new
annotations come in in an active learning framework. Prodigy:
https://prodi.gy Prodigy recipe scripts:
https://github.com/explosion/prodigy-recipes Twitter:
https://twitter.com/_inesmontani https://twitter.com/honnibal