| Time |
Session |
Room |
| 09:00 – 10:00 |
KEYNOTE:
Angeliki Lazaridou |
Video |
| 10:00 – 10:30 |
BREAK |
|
| 10:30 – 12:10 |
ORAL SESSION 3 – “Generation”
- o3.1 Generating Meaningful Topic Descriptions with Sentence Embeddings and LDA
- o3.2 How Well Do You Know Your Audience? Toward Socially-aware Question Generation
- o3.3 GenTUS: Simulating User Behaviour and Language in Task-oriented Dialogues with Generative Transformers
- o3.4 AARGH! End-to-end Retrieval-Generation for Task-Oriented Dialog
|
|
| 12:10 – 13:00 |
LUNCH |
ROBOTARIUM |
| 13:00 – 14:40 |
ORAL SESSION 4 – “Deep dives into dialogue systems”
- o4.1 A Systematic Evaluation of Response Selection for Open Domain Dialogue
- o4.2 Inferring Ranked Dialog Flows from Human-to-Human Conversations
- o4.3 Structured Dialogue Discourse Parsing
- o4.4 “Do you follow me?”: A Survey of Recent Approaches in Dialogue State Tracking
|
|
| 14:40 – 15:00 |
BREAK |
PG Centre |
| 15:00 – 16:00 |
REMOTE SESSION 3
- r3.1 MultiWOZ 2.4: A Multi-Domain Task-Oriented Dialogue Dataset with Essential Annotation Corrections to Improve State Tracking Evaluation
- r3.2 The Duration of a Turn Cannot be Used to Predict When It Ends
- r3.3 Getting Better Dialogue Context for Knowledge Identification by Leveraging Document-level Topic Shift
- r3.4 Neural Generation Meets Real People: Building a Social, Informative Open-Domain Dialogue Agent
- r3.5 DeepCon: An End-to-End Multilingual Toolkit for Automatic Minuting of Multi-Party Dialogues
- r3.6 ICM : Intent and Conversational Mining from Conversation Logs
|
|
| 16:00 – 17:00 |
REMOTE SESSION 4
- r4.1 Entity-based De-noising Modeling for Controllable Dialogue Summarization
- r4.2 iEval: Interactive Evaluation Framework for Open-Domain Empathetic Chatbots
- r4.3 Unsupervised Domain Adaptation on Question-Answering System with Conversation Data
- r4.4 UniDU: Towards A Unified Generative Dialogue Understanding Framework
- r4.5 Advancing Semi-Supervised Task Oriented Dialog Systems by JSA Learning of Discrete Latent Variable Models
|
|
| 17:00 – 18:00 |
REMOTE SESSION 5
- r5.1 Redwood: Using Collision Detection to Grow a Large-Scale Intent Classification Dataset
- r5.2 Dialogue Evaluation with Offline Reinforcement Learning
- r5.3 Disruptive Talk Detection in Multi-Party Dialogue within Collaborative Learning Environments with a Regularized User-Aware Network
- r5.4 Generating Discourse Connectives with Pre-trained Language Models: Conditioning on Discourse Relations Helps Reconstruct the PDTB
- r5.5 Toward Self-Learning End-to-End Task-oriented Dialog Systems
|
|
| 19:00 |
BANQUET |
Ghillie-Dhu |
