Dialogue systems are frequently updated to accommodate new services, but...
As large dialogue models become commonplace in practice, the problems
su...
Existing studies in dialogue system research mostly treat task-oriented
...
As task-oriented dialog systems are becoming increasingly popular in our...
Recent neural models that extend the pretrain-then-finetune paradigm con...
While deep learning through empirical risk minimization (ERM) has succee...
MultiWOZ is one of the most popular multi-domain task-oriented dialog
da...
A video-grounded dialogue system is required to understand both dialogue...
At the heart of text based neural models lay word representations, which...
Task-oriented dialog presents a difficult challenge encompassing multipl...
A significant barrier to progress in data-driven approaches to building
...
Recently, there has been strong interest in developing natural language
...
Open domain dialog systems face the challenge of being repetitive and
pr...
Neural word representations are at the core of many state-of-the-art nat...
Neural generative models have been become increasingly popular when buil...
Modelling long-term dependencies is a challenge for recurrent neural
net...
Deep reinforcement learning has recently shown many impressive successes...
We present MILABOT: a deep reinforcement learning chatbot developed by t...
We present MILABOT: a deep reinforcement learning chatbot developed by t...
Humans are able to accelerate their learning by selecting training mater...