Dialog System Technology Challenges (Dialog State Tracking Challenge)

• From Eliza to XiaoIce: Challenges and Opportunities with Social Chatbots (2018)
• Current research topics in spoken dialogue systems (2016)
• A survey of statistical user simulation techniques for reinforcement- learning of dialogue management strategies (2006)
• Machine learning for dialog state tracking: A review (2015)
• From Eliza to XiaoIce: Challenges and Opportunities with Social Chatbots (2018)

Dialogue State Tracking (DST)

• Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling (2016)
• Towards Universal Dialogue State Tracking (2018)
• Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling (2016)
• Towards Zero-Shot Frame Semantic Parsing for Domain Scaling (2017)
• Comparing Convolutional Neural Networks to Traditional Models for Slot Filling (2016)
• BERT for Joint Intent Classification and Slot Filling (2019)
• Neural Belief Tracker: Data-Driven Dialogue State Tracking (2017)
• Dynamic Memory Networks for Dialogue Topic Tracking
• Towards Improving Dialogue Topic Tracking Performances with Wikification of Concept Mentions
• Towards Universal Dialogue State Tracking (2018)
• Comparing Convolutional Neural Networks to Traditional Models for Slot Filling (2016)
• Neural Belief Tracker: Data-Driven Dialogue State Tracking (2017)
• Position-aware Attention and Supervised Data Improve Slot Filling (2017)
• Towards Improving Dialogue Topic Tracking Performances with Wikification of Concept Mentions
• Towards Zero-Shot Frame Semantic Parsing for Domain Scaling (2017)
• BERT for Joint Intent Classification and Slot Filling (2019)

Research Papers

• FRAMES: A CORPUS FOR ADDING MEMORY TO GOAL-ORIENTED DIALOGUE SYSTEMS (2017)
• FRAMES: A CORPUS FOR ADDING MEMORY TO GOAL-ORIENTED DIALOGUE SYSTEMS (2017)
• LET’S GO: Improving Spoken Dialog Systems for the Eldery and Non-natives

Lectures

• Introduction to statistical spoken dialogue systems (2016)
• Semantic decoding in dialogue systems (2016)
• Dialogue management: generative approaches to belief tracking (2016)
• Dialogue management: discriminative approaches to belief tracking (2016)
• Dialogue management: Parametric approaches to policy optimisation (2016)
• Dialogue management: Non-parametric approaches to policy optimisation (2016)

Alexa Prize

• Sounding Board – University of Washington’s Alexa Prize Submission
• Building CMU Magnus from User Feedback
• Alquist: The Alexa Prize Socialbot
• Emersonbot: Information-Focused Conversational AI Emory University at the Alexa Prize 2017 Challenge
• Pixie: A Social Chatbot
• A Two-Layer Dialogue Framework For Authoring Social Bots
• A Chatbot by Combining Finite State Machine, Information Retrieval, and Bot-Initiative Strategy
• Eigen: A Step Towards Conversational AI
• Slugbot: An Application of a Novel and Scalable Open Domain Socialbot Framework
• Edina: Building an Open Domain Socialbot with Self-dialogues
• The Octopus Approach to the Alexa Competition: A Deep Ensemble-based Socialbot
• Roving Mind: a balancing act between open–domain and engaging dialogue systems

Dialog System Technology Challenges (Dialog State Tracking Challenge)

• DSTC2: The Second Dialog State Tracking Challenge (2016)
• DSTC7: Dialog System Technology Challenge 7 (2019)

Dialog System Technology Challenges (Dialog State Tracking Challenge)

• Text Chunking using Transformation-Based Learning (1995)
• Text Chunking using Transformation-Based Learning (1995)

Dialog System Technology Challenges (Dialog State Tracking Challenge)

• Just ASK: Building an Architecture for Extensible Self-Service Spoken Language Understanding
• Just ASK: Building an Architecture for Extensible Self-Service Spoken Language Understanding

Research Papers

• Adversarial Learning for Neural Dialogue Generation (2017)
• Adversarial Learning for Neural Dialogue Generation (2017)

Lectures

• Statistical Natural Language Generation (2016)

Lectures

Quality Evaluation

• Evaluating Quality of Chatbots and Intelligent Conversational Agents (2017)

Natural Language Generation Evaluation

• Evaluating the state-of-the-art of End-to-End Natural Language Generation: The E2E NLG challenge (2020)