Natural Language Generation (NLG) has improved exponentially in recent years thanks to
the development of sequence-to-sequence deep learning technologies such as Transformer …

Pre-trained language models (LMs) store knowledge in their parameters and can generate
informative responses when used in conversational systems. However, LMs suffer from the …

General-purpose language models have demonstrated impressive capabilities, performing
on par with state-of-the-art approaches on a range of downstream natural language …

The remarkable success of transformers in the field of natural language processing has
sparked the interest of the speech-processing community, leading to an exploration of their …

Dialogue systems powered by large pre-trained language models (LM) exhibit an innate
ability to deliver fluent and natural-looking responses. Despite their impressive generation …

Dialogue systems have made massive promising progress contributed by deep learning
techniques and have been widely applied in our life. However, existing end-to-end neural …

Politeness embalms interactions, putting the parties in conversation at ease. Even the most
well-intended communication can fall through if there is a manifestation of rudeness …

A task-oriented dialogue system (TOD) is an important application of artificial intelligence. In
the past few years, works on multi-domain TODs have attracted increased research attention …

In this chapter, we provide a review of conversational agents (CAs), discussing chatbots,
intended for casual conversation with a user, as well as task-oriented agents that generally …

Task-oriented dialogue generation is challenging since the underlying knowledge is often
dynamic and effectively incorporating knowledge into the learning process is hard. It is …