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Teaching NLP Workshop Proceedings, from previous years.
ML Reproducibility Challenge - investigate the reproducibility of papers accepted for publication at top conferences
Integrating Ethics in the NLP curriculum (ACL 2020) - organized by Emily M. Bender, Dirk Hovy, & Alexandra Schofield
How to make a racist AI without really trying - a sentiment classifier by Robyn Speer
BERT for Humanists - by David Mimno, Melanie Walsh, and Maria Antoniak
Linguistic Fundamentals for Natural Language Processing: 100 Essentials from Morphology and Syntax by Emily M. Bender
Linguistic Fundamentals for Natural Language Processing II: 100 Essentials from Semantics and Pragmatics by Emily M. Bender & Alex Lascarides
Speech and Language Processing by Dan Jurafsky & James H. Martin
Natural Language Processing with Pytorch by Delip Rao & Brian McMahan, with code
Introduction to Natural Language Processing by Jacob Eisenstein, with notes and slides
Text Analysis in Python for Social Scientists by Dirk Hovy, with code
A Look Inside the Pedagogy of Natural Language Processing by David Jurgens & Lucy Li, containing Q&As with many faculty
What Do We Teach When We Teach Tech Ethics? A Syllabi Analysis by Casey Fiesler, Natalie Garrett, and Nathan Beard. Spreadsheet of courses.
“You Can’t Sit With Us”: Exclusionary Pedagogy in AI Ethics Education by Inioluwa Deborah Raji, Morgan Klaus Scheuerman, and Razvan Amironesei