| Date | Topic | Readings | Discussion Leaders | Todo's |
|---|
| Jan 17 (make-up class on Jan19 due to weather) | Intro to Class (summary of different types of dialogue, models, and evaluation issues) | SLP3 Chapters 29, 30; SLP2 Chapters 24 | Mohit | - |
| Jan 26 | Rule-based Chatbots, Retrieval-based Chatbots | Rule-based (Yichen):
(1) ELIZA: A computer program for the study of natural language communication between man and machine. Weizenbaum, J. (1966) ;
(2) PARRY: Artificial paranoia. Colby at al. (1971) ;
Retrieval-based (Han):
(3) Filter, rank, and transfer the knowledge: Learning to chat. Jafarpour et al. (2009) ;
(4) NPCEditor: Creating virtual human dialogue using information retrieval techniques. Leuski and Traum (2011) ;
(5) Cobot in LambdaMOO: A social statistics agent. Isbell et al. (2000) | Yichen, Han | - |
| Feb 2 (no class due to travel; make-up class info will be emailed) | | | TBD | - |
| Feb 9 | Frame-based and KB-based Agents | Justin:
(1) GUS, A Frame-Driven Dialog System. Bobrow et al. (1977) ;
(2) Frame Based Dialog Agents. Jurafsky and Martin SLP3 Book Chapter 29.2 ;
Lisa+Tong:
(3) Frames: A Corpus for Adding Memory to Goal-Oriented Dialogue Systems. Asri et al. (2017) ;
(4) Learning Symmetric Collaborative Dialogue Agents with Dynamic Knowledge Graph Embeddings. He et al. (2017) ;
(5) Key-Value Retrieval Networks for Task-Oriented Dialogue. Eric and Manning (2017) | Justin, Lisa+Tong | - |
| Feb 16 | Neural Generative Models | Haonan:
(1) Semantically Conditioned LSTM-based Natural Language Generation for Spoken Dialogue Systems. Wen et al. (2015) ;
(2) Conditional Generation and Snapshot Learning in Neural Dialogue Systems. Wen et al. (2016) ;
(3) Coherent Dialogue with Attention-based Language Models. Mei et al. (2016);
Hyounghun:
(4) A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues. Serban et al. (2016) ;
(5) A Diversity-Promoting Objective Function for Neural Conversation Models. Li et al. (2015) ;
(6) Adversarial Learning for Neural Dialogue Generation. Li et al. (2017) | Haonan, Hyounghun | - |
| Feb 23 | Personality and Emotion based Dialogue | Eric:
(1) Improvising Linguistic Style: Social and Affective Bases for Agent Personality. Walker et al. (1997) ;
(2) PERSONAGE: Personality Generation for Dialogue. Mairesse and Walker (2007) ;
(3) Using Linguistic Cues for the Automatic Recognition of Personality in Conversation and Text. Mairesse et al. (2007);
Yicheng:
(4) A Persona-Based Neural Conversation Model. Li et al. (2016) ;
(5) Personalizing Dialogue Agents: I have a dog, do you have pets too? Zheng et al. (2018) ;
(6) Zara Returns: Improved Personality Induction and Adaptation by an Empathetic Virtual Agent. Siddique et al. (2017) | Eric, Yicheng | - |
| Mar 2 | Reinforcement Learning for Dialogue Policy | Hao:
(1) Reinforcement learning for spoken dialogue systems. Singh et al. (1999) ;
(2) Automatic learning of dialogue strategy using dialogue simulation and reinforcement learning. Scheffler and Young (2002) ;
(3) Partially observable Markov decision processes for spoken dialog systems. Williams and Young (2007) ;
Ram:
(4) On-line Active Reward Learning for Policy Optimisation in Spoken Dialogue Systems. Su et al. (2016) ;
(5) Deep Reinforcement Learning for Dialogue Generation. Li et al. (2016) ;
(6) Composite Task-Completion Dialogue Policy Learning via Hierarchical Deep Reinforcement Learning. Peng et al. (2017) | Hao, Ram | - |
| Mar 9 | Grounded Dialogue (Visual, Speech, Gaze, etc.) | Sweta:
(1) MATCH: An Architecture for Multimodal Dialogue Systems. Johnston et al. (2002) ;
(2) The ICSI meeting project: Resources and research. Janin et al. (2004) ;
(3) Eye Gaze for Spoken Language Understanding in Multi-Modal Conversational Interactions. Dilek Hakkani-Tür et al. (2014) ;
Jie:
(4) Visual Dialog. Das et al. (2017) ;
(5) GuessWhat?! Visual object discovery through multi-modal dialogue. De Vries et al. (2017) ;
(6) Image-Grounded Conversations: Multimodal Context for Natural Question and Response Generation. Mostafazadeh et al. (2017) | Sweta, Jie | - |
| Mar 16 (Spring Break) | | | TBD | - |
| Mar 23 | Midterm Project Presentations | | All Students | Midterm project write-up's due Apr1 |
| Mar 30 (univ holiday) | | | | - |
| Apr 6 | Human-Robot Task Dialogue | Yixin:
(1) Clarifying commands with information-theoretic human-robot dialog. Deits et al. (2012) ;
(2) Asking for help using inverse semantics. Tellex et al. (2014) ;
Haonan:
(3) Navigational Instruction Generation as Inverse Reinforcement Learning with Neural Machine Translation. Daniele et al. (2017) ;
(4) Back to the Blocks World: Learning New Actions through Situated Human-Robot Dialogue. She et al. (2014) ;
Justin:
(5) PLOW: A Collaborative Task Learning Agent. Allen et al. (2007) ;
(6) Learning to Interpret Natural Language Commands through Human-Robot Dialog. Thomason et al. (2015) | Yixin, Haonan, Justin | - |
| Apr 13 | Human-Robot Task Dialogue 2, Language Learning via Dialogue-based and Interactive Games**, Turn-taking/Gaze | Hyounghun: (1) Embodied Collaborative Referring Expression Generation in Situated Human-Robot Interaction. Fang et al. (2015) ;
Yicheng: (2) Multi-Agent Cooperation and the Emergence of (Natural) Language. Lazaridou et al. (2017) ;
Yixin: (3) Emergent Communication in a Multi-Modal, Multi-Step Referential Game. Evtimova et al. (2017) ;
Jie: (4) Natural Language Does Not Emerge 'Naturally' in Multi-Agent Dialog. Kottur et al. (2017) ;
Eric: (5) Simon plays Simon says: The timing of turn-taking in an imitation game. Chao et al. (2011) ;
Han: (6) Generation of Nodding, Head Tilting and Eye Gazing for Human-Robot Dialogue Interaction. Liu et al. (2012)
| Hyounghun, Yicheng, Yixin, Jie, Eric, Han | - |
| Apr 20 | Going Forward: Better Evaluation** and Real-World Deployment of Dialogue Systems** | Ram: (1) How NOT To Evaluate Your Dialogue System: An Empirical Study of Unsupervised Evaluation Metrics for Dialogue Response Generation. Liu et al. (2016) ;
Tong: (2) Towards an Automatic Turing Test: Learning to Evaluate Dialogue Responses. Lowe et al. (2017)
Hao: (3) Why We Need New Evaluation Metrics for NLG. Novikova et al. (2017) ;
Yichen: (4) Adversarial Evaluation for Open-Domain Dialogue Generation. Bruni and Fernandez (2017) ;
Sweta: (5) Sounding Board – University of Washington’s Alexa Prize Submission. Fang et al. (2017) ;
Lisa: (6) Alana: Social Dialogue using an Ensemble Model and a Ranker trained on User Feedback. Papaioannou et al. (2017) | Yichen, Ram, Tong, Lisa, Sweta, Hao | - |
| May 04 | Final Project Presentations | | All Students | Final project write-up's due May7 |