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Neural Nets for NLP 2019 - Models of Dialog
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- 1 Intro
- 2 Types of Dialog
- 3 Two Paradigms
- 4 Generation-based Models (Ritter et al. 2011)
- 5 Neural Models for Dialog Response Generation
- 6 Dialog More Dependent on Global Coherence
- 7 One Solution: Use Standard Architecture w/ More Context
- 8 Hierarchical Encoder- decoder Model (Serban et al. 2016)
- 9 Discourse-level VAE Model (Zhao et al. 2017)
- 10 Diversity is a Problem for Evaluation!
- 11 Using Multiple References with Human Evaluation Scores (Galley et al. 2015)
- 12 Learning to Evaluate
- 13 Dialog Agents should have Personality
- 14 Personality Infused Dialog (Mairesse et al. 2007)
- 15 Dialog Response Retrieval
- 16 Retrieval-based Chat (Lee et al. 2009)
- 17 Neural Response Retrieval (Nio et al. 2014)
- 18 Smart Reply for Email Retrieval (Kannan et al. 2016)
- 19 Chat vs. Task Completion
- 20 Traditional Task-completion Dialog Framework
- 21 NLU (for Slot Filling) w/ Neural Nets (Mesnil et al. 2015)
- 22 Dialog State Tracking
- 23 Language Generation from Dialog State w/ Neural Nets (Wen et al. 2015)
