Teaching
Computational Linguistics and Information Processing
Spring 2022
- How and Why Artificial Intelligence Answers Questions (Boyd-Graber)
Fall 2021
- Natural Language Processing (Boyd-Graber)
Spring 2021
- Computational Linguistics I (Boyd-Graber/Resnik)
Fall 2017
- Computational Linguistics I (Carpuat)
- Multidisciplinary Seminar (Resnik)
- Machine Learning (Boyd-Graber)
Spring 2017
- Computational Linguistics II (Resnik)
- Computational Psycholinguistics (Feldman)
Fall 2016
- Computational Linguistics I (Carpuat)
- Reinforcement Learning (Daume)
- Computational Models of Human Parsing (Resnik)
Spring 2016
- Computational Linguistics II (Resnik)
- Machine Learning (Daume)
Fall 2015
- Computational Linguistics I (Carpuat)
- Computational Social Science (Resnik)
Spring 2015
- Computational Linguistics II (Resnik)
- Computational Psycholinguistics (Feldman)
- Multilingual Natural Language Processing (Carpuat)
Fall 2014
- Computational Linguistics I (Daume)
- Semantics in Computational Linguistics (Resnik)
Spring 2014
- Linguistic Prediction (Daume, Feldman, Lau)
- Computational Linguistics II (Resnik)
- Digging into Data (Boyd-Graber)
Fall 2013
- Computational Linguistics I (Boyd-Graber)
- Computational Social Science (Resnik)
Spring 2013
- Bayesian Nonparametrics (Boyd-Graber, Daume, Feldman)
- Computational Linguistics II (Resnik)
- Digging into Data (Boyd-Graber)
- Machine Learning (Daume)
- Cloud Computing (Lin)
- Computational Psycholinguistics (Feldman)
Fall 2012
- Computational Linguistics I (Daume)
Spring 2012
- E-Discovery (Oard)
- Computational Linguistics II (Boyd-Graber)
- Computational Psycholinguistics (Feldman)
Fall 2011
- Computational Linguistics I (Hollingshead)
- Multilingual Modeling (Daume)
Spring 2011
- Computational Linguistics II (Resnik)
- Computational Psycholinguistics (Feldman)
Fall 2010
- Computational Linguistics I (Daume)
- Seminar in Computational Linguistics (Resnik)
- Machine Learning (Getoor)
Spring 2010
- Computational Linguistics II (Resnik)
- Cloud Computing (Boyd-Graber)