CS 690N, Spring 2017

Schedule

Homeworks

Weekly topics and readings.

Topic Readings
1/24, 1/26: Language modeling and EM
HW1
1/31, 2/2 (and 2/7): Log-linear models
2/14, 2/16: Neural models Optional:
2/21, 2/23, 2/28: Sequence Labeling
3/2, 3/7, 3/9: Syntax, CFGs
Spring break
3/21, 3/23: Dependency Parsing
3/28: Coreference
  • Eisenstein 2017, Chapter 17, Anaphora and Coreference Resolution
  • Optional: de Marneffe et al. 2015, "Modeling the Lifespan of Discourse Entities with Application to Coreference Resolution"
3/30: Relational semantics
  • Eisenstein 2017, Chapter 13+14, Logical and Shallow semantics (we'll emphasize shallow)
  • Hobbs et al. 1997, "FASTUS: A Cascaded Finite-State Transducer for Extracting Information from Natural-Language Text"
4/4: Guest lecture, Brian Dillion, computational models of human sentence comprehension. Notes
4/6: Distributional semantics
  • Eisenstein 2017, Chapter 15, Distributional semantics
4/11, 4/13: Structured neural networks (convolutional, recurrent, recursive)
4/18: No class (Monday schedule day)
4/20: Autodiff demo
4/20: Crowdsourcing demo
4/25: Interpretable BOW models (topic models, sparse log-linear) and Bayesian models (Sparse) additive logit models
  • Eisenstein et al. 2011, Sparse Additive Generative Models of Text
  • Monroe et al. 2008, Fightin Words: Lexical Feature Selection and Evaluation for Identifying the Content of Political Conflict
  • Longer but interesting: Taddy 2013, Multinomial Inverse Regression for Text Analysis
Topic models
4/27: Dialects and social media NLP (Su Lin Blodgett)
  • Blodgett et al. 2016, Demographic Dialectal Variation in Social Media: A Case Study of African-American English
5/2: Presentations