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Conference PROGRAM
11 September 2019 | |
| 09:00–09:20 | Welcome |
| 09:20–10:20 | Keynote 1 - Learning Natural Language Interfaces with Neural Models Mirella Lapata |
| 10:20–10:50 | Coffee Break |
| 10:50–12:05 Session 1 - Policy and Knowledge | |
| Deep Reinforcement Learning For Modeling Chit-Chat Dialog With Discrete Attributes Chinnadhurai Sankar and Sujith Ravi | |
| Improving Interaction Quality Estimation with BiLSTMs and the Impact on Dialogue Policy Learning Stefan Ultes | |
| Lifelong and Interactive Learning of Factual Knowledge in Dialogues Sahisnu Mazumder, Bing Liu, Shuai Wang and Nianzu Ma | |
| 12:05–13:20 | Lunch |
| 13:20–15:10 Poster and Demos 1 | |
| Few-Shot Dialogue Generation Without Annotated Data: A Transfer Learning Approach Igor Shalyminov, Sungjin Lee, Arash Eshghi and Oliver Lemon | |
| SIM: A Slot-Independent Neural Model for Dialogue State Tracking Chenguang Zhu, Michael Zeng and Xuedong Huang | |
| Simple, Fast, Accurate Intent Classification and Slot Labeling for Goal-Oriented Dialogue Systems Arshit Gupta, John Hewitt and Katrin Kirchhoff | |
| Time Masking: Leveraging Temporal Information in Spoken Dialogue Systems Rylan Conway and Mathias Lambert | |
| To Combine or Not To Combine? A Rainbow Deep Reinforcement Learning Agent for Dialog Policies Dirk Väth and Ngoc Thang Vu | |
| Contextualized Representations for Low-resource Utterance Tagging Bhargavi Paranjape and Graham Neubig | |
| Capturing Dialogue State Variable Dependencies with an Energy-based Neural Dialogue State Tracker Anh Duong Trinh, Robert J. Ross and John D. Kelleher | |
| Leveraging Non-Conversational Tasks for Low Resource Slot Filling: Does it help? Samuel Louvan and Bernardo Magnini | |
| Collaborative Multi-Agent Dialogue Model Training Via Reinforcement Learning Alexandros Papangelis, Yi-Chia Wang, Piero Molino and Gokhan Tur | |
| Scoring Interactional Aspects of Human-Machine Dialog for Language Learning and Assessment using Text Features Vikram Ramanarayanan, Matthew Mulholland and Yao Qian | |
| Spoken Conversational Search for General Knowledge Lina M. Rojas Barahona, Pascal Bellec, Benoit Besset, Martinho Dossantos, Johannes Heinecke, munshi asadullah, Olivier Leblouch, Jeanyves. Lancien, Geraldine Damnati, Emmanuel Mory and Frederic Herledan | |
| Graph2Bots, Unsupervised Assistance for Designing Chatbots Jean-Leon Bouraoui, Sonia Le Meitour, Romain Carbou, Lina M. Rojas Barahona and Vincent Lemaire | |
| On a Chatbot Conducting Dialogue-in-Dialogue Boris Galitsky, Dmitry Ilvovsky and Elizaveta Goncharova | |
| 15:10–15:40 | Coffee Break |
| 15:40–16:55 Session 2 (Special Session) - Implications of Deep Learning for Dialogue Modeling | |
| DeepCopy: Grounded Response Generation with Hierarchical Pointer Networks Semih Yavuz, Abhinav Rastogi, Guan-Lin Chao and Dilek Hakkani-Tur | |
| Towards End-to-End Learning for Efficient Dialogue Agent by Modeling Looking-ahead Ability Zhuoxuan Jiang, Xian-Ling Mao, Ziming Huang, Jie Ma and Shaochun Li | |
| Unsupervised Dialogue Spectrum Generation for Log Dialogue Ranking Xinnuo Xu, Yizhe Zhang, Lars Liden and Sungjin Lee | |
| 16:55–17:55 | Panel: The Future of Dialogue Research Phil Cohen |
| 18:15–19:45 | Reception |
12 September 2019 | |
| 09:00–10:00 | Keynote 2 - Situated Interaction Dan Bohus |
| 10:00–10:30 | Coffee Break |
| 10:30–11:45 Session 3 - Generation and End-to-end Dialogue Systems | |
| Tree-Structured Semantic Encoder with Knowledge Sharing for Domain Adaptation in Natural Language Generation Bo-Hsiang Tseng, Paweł Budzianowski, Yen-chen Wu and Milica Gasic | |
| Structured Fusion Networks for Dialog Shikib Mehri, Tejas Srinivasan and Maxine Eskenazi | |
| Flexibly-Structured Model for Task-Oriented Dialogues Lei Shu, Piero Molino, Mahdi Namazifar, Hu Xu, Bing Liu, Huaixiu Zheng and Gokhan Tur | |
| 11:45–13:00 | Lunch |
| 13:00–14:15 Poster and Demos 2 | |
| FriendsQA: Open-Domain Question Answering on TV Show Transcripts Zhengzhe Yang and Jinho D. Choi | |
| Foundations of Collaborative Task-Oriented Dialogue: What’s in a Slot? Philip Cohen | |
| Speaker-adapted neural-network-based fusion for multimodal reference resolution Diana Kleingarn, Nima Nabizadeh, Martin Heckmann and Dorothea Kolossa | |
| Learning Question-Guided Video Representation for Multi-Turn Video Question Answering Guan-Lin Chao, Abhinav Rastogi, Semih Yavuz, Dilek Hakkani-Tur, Jindong Chen and Ian Lane | |
| Zero-shot transfer for implicit discourse relation classification Murathan Kurfalı and Robert Östling | |
| A Quantitative Analysis of Patients’ Narratives of Heart Failure Sabita Acharya, Barbara Di Eugenio, Andrew Boyd, Richard Cameron, Karen Dunn Lopez, Pamela Martyn-Nemeth, Debaleena Chattopadhyay, Pantea Habibi, Carolyn Dickens, Haleh Vatani and Amer Ardati | |
| TDDiscourse: A Dataset for Discourse-Level Temporal Ordering of Events Aakanksha Naik, Luke Breitfeller and Carolyn Rose | |
| Real-time Generation of Unambiguous Spatial Referring Expressions Fethiye Irmak Dogan, Sinan Kalkan and Iolanda Leite | |
| Real Life Application of a Question Answering System Using BERT Language Model Francesca Alloatti, Luigi Di Caro and Gianpiero Sportelli | |
| 14:15–15:05 Session 4 - Understanding and Dialogue State Tracking | |
| Hierarchical Multi-Task Natural Language Understanding for Cross-domain Conversational AI: HERMIT NLU Andrea Vanzo, Emanuele Bastianelli and Oliver Lemon | |
| Dialog State Tracking: A Neural Reading Comprehension Approach Shuyang Gao, Abhishek Sethi, Sanchit Agarwal, Tagyoung Chung and Dilek Hakkani-Tur | |
| 15:05–15:35 | Coffee Break |
| 15:35–16:25 Session 5 - Acoustics | |
| Cross-Corpus Data Augmentation for Acoustic Addressee Detection Oleg Akhtiamov, Ingo Siegert, Alexey Karpov and Wolfgang Minker | |
| A Scalable Method for Quantifying the Role of Pitch in Conversational Turn-Taking Kornel Laskowski, Marcin Wlodarczak and Mattias Heldner | |
| 16:25–17:10 Sponsor Session | |
| 18:30–21:00 | Banquet at Vasa Museum |
13 September 2019 | |
| 09:00–10:00 | The Many Facets of Dialog Helen Meng |
| 10:00–10:30 | Coffee Break |
| 10:30–11:45 Session 6 - Evaluation and Data | |
| A Large-Scale User Study of an Alexa Prize Chatbot: Effect of TTS Dynamism on Perceived Quality of Social Dialog Michelle Cohn, Chun-Yen Chen and Zhou Yu | |
| Influence of Time and Risk on Response Acceptability in a Simple Spoken Dialogue System Andisheh Partovi and Ingrid Zukerman | |
| Characterizing the Response Space of Questions: a Corpus Study for English and Polish Jonathan Ginzburg, Zulipiye Yusupujiang, Chuyuan Li, Kexin Ren and Paweł Łupkowski | |
| 11:45–13:00 | Lunch |
| 13:00–14:50 Poster and Demos 3 | |
| From Explainability to Explanation: Using a Dialogue Setting to Elicit Annotations with Justifications Nazia Attari, Martin Heckmann and David Schlangen | |
| Prediction of User Emotion and Dialogue Success Using Audio Spectrograms and Convolutional Neural Networks Athanasios Lykartsis and Margarita Kotti | |
| Modelling Adaptive Presentations in Human-Robot Interaction using Behaviour Trees Nils Axelsson and Gabriel Skantze | |
| Coached Conversational Preference Elicitation: A Case Study in Understanding Movie Preferences Filip Radlinski, Krisztian Balog, Bill Byrne and Karthik Krishnamoorthi | |
| A Crowd-based Evaluation of Abuse Response Strategies in Conversational Agents Amanda Cercas Curry and Verena Rieser | |
| A Dynamic Strategy Coach for Effective Negotiation Yiheng Zhou, He He, Alan W Black and Yulia Tsvetkov | |
| Investigating Evaluation of Open-Domain Dialogue Systems With Human Generated Multiple References Prakhar Gupta, Shikib Mehri, Tiancheng Zhao, Amy Pavel, Maxine Eskenazi and Jeffrey Bigham | |
| User Evaluation of a Multi-dimensional Statistical Dialogue System Simon Keizer, Ondřej Dušek, Xingkun Liu and Verena Rieser | |
| Dialogue Act Classification in Team Communication for Robot Assisted Disaster Response Tatiana Anikina and Ivana Kruijff-Korbayova | |
| Multi-Task Learning of System Dialogue Act Selection for Supervised Pretraining of Goal-Oriented Dialogue Policies Sarah McLeod, Ivana Kruijff-Korbayova and Bernd Kiefer | |
| B. Rex: a dialogue agent for book recommendations Mitchell Abrams, Luke Gessler and Matthew Marge | |
| 14:20–14:50 | Coffee Break (during Poster and Demos 3) |
| 14:50–16:05 Session 7 - Discourse | |
| SpaceRefNet: a neural approach to spatial reference resolution in a real city environment Dmytro Kalpakchi and Johan Boye | |
| Which aspects of discourse relations are hard to learn? Primitive decomposition for discourse relation classification Charlotte Roze, Chloé Braud and Philippe Muller | |
| Discourse Relation Prediction: Revisiting Word Pairs with Convolutional Networks Siddharth Varia, Christopher Hidey and Tuhin Chakrabarty | |
| 16:05–16:20 | Short Coffee Break |
| 16:20–17:20 | Business meeting, Awards and Closing |