Readings & Resources

Readings and resources will be posted here as the semester progresses.

By class meeting

• Day 2 (Aug 27): A brief history of NLP
• Day 3 (Sep 1): Representing and encoding text
• Day 4 (Sep 3): What is meaning?
• Day 5 (Sep 8): Representing and modeling meaning
• Day 6 (Sep 10): Families of problems
• Day 7 (Sep 15): Pre- and post-processing

Tools & references

• Eisenstein, J. Natural Language Processing. November 13, 2018.
• Schofield, X. “tapi-text-data.” Text Analysis Pedagogy Institute 2022, Text Data Curation workshop.
• Blei, D. “Probabilistic Topic Models.” Communications of the ACM 55(4):77-84, 2012.
• Blei, D. “Probabilistic Topic Models.” MLSS 2012 slides.

Datasets

Coming soon.