1 code implementation • ACL 2021 • Bo-Hsiang Tseng, Yinpei Dai, Florian Kreyssig, Bill Byrne
Our goal is to develop a modelling framework that can incorporate new dialogue scenarios through self-play between the two agents.
1 code implementation • WS 2018 • Bo-Hsiang Tseng, Florian Kreyssig, Pawel Budzianowski, Inigo Casanueva, Yen-chen Wu, Stefan Ultes, Milica Gasic
Cross-domain natural language generation (NLG) is still a difficult task within spoken dialogue modelling.
no code implementations • WS 2018 • I{\~n}igo Casanueva, Pawe{\l} Budzianowski, Stefan Ultes, Florian Kreyssig, Bo-Hsiang Tseng, Yen-chen Wu, Milica Ga{\v{s}}i{\'c}
Reinforcement learning (RL) is a promising dialogue policy optimisation approach, but traditional RL algorithms fail to scale to large domains.
no code implementations • WS 2018 • Florian Kreyssig, I{\~n}igo Casanueva, Pawe{\l} Budzianowski, Milica Ga{\v{s}}i{\'c}
The ABUS is based on hand-crafted rules and its output is in semantic form.
no code implementations • 17 May 2018 • Florian Kreyssig, Inigo Casanueva, Pawel Budzianowski, Milica Gasic
The ABUS is based on hand-crafted rules and its output is in semantic form.
no code implementations • 18 Feb 2018 • Florian Kreyssig, Chao Zhang, Philip Woodland
Time delay neural networks (TDNNs) are an effective acoustic model for large vocabulary speech recognition.