Schedule

Unit Focus Resources Assignments
Apr 2
  1. Course overview
    [slides]
  1. Course set-up
  1. Ng & Zelle 1997
  2. Ferrucci et al. 2010
  3. Mitchell 2004
  4. Video: The challenge and promise of artificial intelligence
  5. Levesque 2013
  1. HW 1 due Apr 16
  2. Word similarity bake-off due Apr 16
Apr 4
  1. Distributed representations
  1. Designs, distances, basic reweighting
  2. Optional: The semantic orientation method
  1. Screencast: Overview [slides]
  2. Screencast: Vector comparison [slides]
  4. Screencast: Reweighting [slides]
  6. Screencast: Dimensionality reduction [slides]
  7. Talk: t-SNE (van der Maaten)
  8. Turney and Pantel 2010
  9. Pennington et al. 2014
  10. Faruqui et al. 2015
Apr 9
  1. Dimensionality reduction and representation learning
  2. Optional: Word analogies
Apr 11
  1. Retrofitting
  2. Bake-off: Word similarity tasks
  3. Bake-off results and discussion
Apr 16
  1. Supervised sentiment analysis
  1. Overview of the Stanford Sentiment Treebank
  2. Hand-built feature functions
  1. Socher et al. 2013
  2. Optional: Sentiment Tutorial and resources
  3. Optional: Tutorial videos on supervised learning
  4. Optional: Stanford AI Lab Deep Learning Tutorial
  1. HW 2 due Apr 23
  2. Stanford Sentiment Treebank bake-off due Apr 23
Apr 18
  1. Dense feature representations and neural networks
  2. Modifying and expanding the included TensorFlow modules
  3. Bake-off: Stanford Sentiment Treebank
  4. Bake-off results and discussion
Apr 23
  1. Relation extraction [slides]
  1. Approaches to relation extraction
  1. Jurafsky and Martin 2009, §22.1-22.2
  2. Snow et al. 2005
  3. Mintz et al. 2009
  1. HW 3 due Apr 30
  2. Relation extraction bake-off due Apr 30
Apr 25
  1. Bake-off: Relation extraction
  2. Bake-off results and discussion
Apr 30
  1. Projects
  1. Project planning
    [slides]
  1. Domingos 2012
  2. Resnik and Lin 2010
  3. Smith 2011, Appendix B
  1. Lit review due May 7
May 2
  1. Evaluation metrics
  2. Data programming: Training data without hand labeling (includes optional in-class bake-off)
  1. Ratner et al. 2016
  2. Poesio et al. 2017
May 7
  1. Natural language inference
  1. Bake-off: Word-level entailment with neural networks
  2. Bake-off results and discussion
  1. Goldberg 2015
  2. Bowman et al. 2015a
  3. Bowman et al. 2015b
  4. Rocktäschel et al. 2015
  1. HW 4 due May 14
  2. Word-level entailment bake-off due May 14
May 9
  1. Task and datasets
  2. Models
May 14
  1. Semantic parsing
    [slides]
  1. Overview and concepts
  2. SippyCup codebase
  3. SippyCup unit 0
  4. SippyCup unit 1
  5. SippyCup unit 2
  6. SippyCup unit 3
  1. Screencast: Core concepts for semantic parsing [slides]
  2. Screencast: Semantic parsing models [slides]
  3. Liang and Potts 2015
  4. Zettlemoyer & Collins 2005
  5. Liang et al. 2011 (Or if you're ambitious, the longer version: Liang et al. 2013)
  6. Talk: Learning dependency-based compositional semantics (Percy Liang)
  1. HW 5 due May 21
  2. Alien language bake-off due May 21
May 16
  1. Bake-off: Learning an alien language
  2. Bake-off results and discussion
May 21
  1. Grounded language understanding
  1. Slides
  1. Golland et al. 2010
  2. Andreas and Klein 2016
  3. Monroe et al. 2017
  4. Tellex, Knepper, et al. 2014
  5. Vogel et al. 2014
  1. Project milestone due May 28
May 23
  1. Projects
  1. Evaluation methods
May 28
  1. Memorial Day (no class)
May 30
  1. Projects
  1. Writing up and presenting your work [slides]
  1. Stuart Shieber on reporting research results
  2. David Goss on math style
  1. Video presentations due June 6
Jun 4
  1. Project work (teaching team available in the classroom)
Jun 6
  1. Project work (teaching team available in the classroom)
Jun 13

FINAL PROJECT DUE