Research
Publications
- Hello, It’s GPT-2 - How Can I Help You? Towards the Use of Pretrained Language Models for Task-Oriented Dialogue Systems, The 3rd Workshop on Neural Generation and Translation, EMNLP, 2019.
Paweł Budzianowski, Ivan Vulić
- Semi-Supervised Bootstrapping of Dialogue State Trackers for Task-Oriented Modelling, EMNLP, 2019.
Bo-Hsiang Tseng, Marek Rei, Paweł Budzianowski, Richard Turner, Bill Byrne, Anna Korhonen
- MultiWOZ - A Large-Scale Multi-Domain Wizard-of-Oz Dataset for Task-Oriented Dialogue Modelling, EMNLP 2018. [data] [code]
Paweł Budzianowski, Tsung-Hsien Wen, Bo-Hsiang Tseng, Inigo Casanueva, Stefan Ultes, Osman Ramadan, Milica Gašić
Best Resource Paper Award, 1 of 4 out of 548 accepted papers
- Large-Scale Multi-Domain Belief Tracking with Knowledge Sharing, ACL 2018. [code]
Osman Ramadan, Paweł Budzianowski, Milica Gašić
- Benchmarking Uncertainty Estimates with Deep Reinforcement Learning for Dialogue Policy Optimisation, ICASSP 2018.
Christopher Tegho*, Paweł Budzianowski*, Milica Gašić
Best Student Paper Award, 1 of 10 out of 1442 accepted papers
- Sample Efficient Deep Reinforcement Learning for Dialogue Systems with Large Action Spaces, IEEE Transaction on Audio, Speech and Language Processing, 2018.
Gellert Weisz, Paweł Budzianowski, Pei-Hao Su, Milica Gašić
- Uncertainty Estimates for Efficient Neural Network-based Dialogue Policy Optimisation, Bayesian Deep Learning Workshop, NIPS 2017.
Christopher Tegho*, Paweł Budzianowski*, Milica Gašić
- “A Benchmarking Environment for Reinforcement Learning Based Task Oriented Dialogue Management”, Deep Reinforcement Learning Symposium, NIPS 2017.
Inigo Casanueva*, Paweł Budzianowski*, Pei-Hao Su*, Nikola Mrkšić, Tsung-Hsien Wen, Stefan Ultes, Lina Rojas-Barahona, Steve Young and Milica Gašić
- “Sub-domain Modelling for Dialogue Management with Hierarchical Reinforcement Learning”, SIGDIAL 2017.
Paweł Budzianowski, Stefan Ultes, Pei-Hao Su, Nikola Mrkšić, Tsung-Hsien Wen, Iñigo Casanueva, Lina M. Rojas Barahona and Milica Gašić
- “Sample-efficient Actor-Critic Reinforcement Learning with Supervised Data for Dialogue Management”, SIGDIAL 2017.
Pei-Hao Su, Paweł Budzianowski, Stefan Ultes, Milica Gašić and Steve Young
- “Copula Models in Macroeconomic Analysis of Dependence”, (in Polish), Local, Regional and Global Economy, 2014.
Paweł Budzianowski
*equal contribution
Collaborated Papers
- “Training Neural Response Selection for Task-Oriented Dialogue Systems”, ACL 2019
Matthew Henderson, Ivan Vulić, Daniela Gerz, Iñigo Casanueva, Paweł Budzianowski, Sam Coope, Georgios Spithourakis, Tsung-Hsien Wen, Nikola Mrkšić, Pei-Hao Su
- “A Repository of Conversational Datasets”, NLP for ConvAI Workshop, ACL 2019
Matthew Henderson, Paweł Budzianowski, Iñigo Casanueva, Sam Coope, Daniela Gerz, Girish Kumar, Nikola Mrkšić, Georgios Spithourakis, Pei-Hao Su, Ivan Vulić, Tsung-Hsien Wen
- “PyDial: A Multi-domain Statistical Dialogue System Toolkit”, ACL 2017
Stefan Ultes, Lina M. Rojas Barahona, Pei-Hao Su, David Vandyke, Dongho Kim, Iñigo Casanueva, Paweł Budzianowski, Nikola Mrkšić, Tsung-Hsien Wen, Milica Gasic and Steve Young
Website articles
- Artificial Intelligence is Coming, Poznan Mathematical Foundation 2016
- Kepler’s laws, co-author, Poznan Mathematical Foundation, 2014
Dissertations
- Training Restricted Boltzmann Machines Using High-Temperature Expansion, Master’s Thesis, Engineering Department, University of Cambridge, first-class honours.
- Applications of copulas in calculating Value-at-Risk (in Polish), Master’s Thesis, Faculty of Mathematics and Computer Science, Adam Mickiewicz University in Poznan, first-class honours.