Neural Nets for NLP 2018 - Models of Dialogue

Neural Nets for NLP 2018 - Models of Dialogue

Graham Neubig via YouTube Direct link

Types of Dialog

1 of 19

1 of 19

Types of Dialog

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Neural Nets for NLP 2018 - Models of Dialogue

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  1. 1 Types of Dialog
  2. 2 Two Paradigms
  3. 3 Generation-based Models (Ritter et al. 2011)
  4. 4 Neural Models for Dialog Response Generation
  5. 5 Dialog More Dependent on Global Coherence
  6. 6 One Solution: Use Standard Architecture w/ More Context
  7. 7 Discourse-level VAE Model (Zhao et al. 2017)
  8. 8 Diversity Promoting Objective for Conversation (Li et al. 2016) • Basic idea we want responses that are likely given the context, unlikely otherwise • Method: subtract weighted unconditioned log prob…
  9. 9 Using Multiple References with Human Evaluation Scores (Gallay et al. 2015)
  10. 10 Learning to Evaluate • Use context, true response, and actual response to learn a regressor that predicts goodness (Lowe et al. 2017)
  11. 11 Problem 3: Dialog Agents should have Personality
  12. 12 Personality Infused Dialog (Mairesse et al. 2007)
  13. 13 Dialog Response Retrieval
  14. 14 Retrieval-based Chat (Lee et al. 2009)
  15. 15 Neural Response Retrieval (Nio et al. 2014)
  16. 16 Smart Reply for Email Retrieval (Kannan et al. 2016)
  17. 17 NLU (for Slot Filling) w/ Neural Nets (Mesnil et al. 2015)
  18. 18 Dialog State Tracking
  19. 19 Language Generation from Dialog State w/ Neural Nets (Won et al. 2015)

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