This article offers a comprehensive review of the research on Natural Language Generation
(NLG) over the past two decades, especially in relation to data-to-text generation and text-to …

Dialogue systems are a popular natural language processing (NLP) task as it is promising in
real-life applications. It is also a complicated task since many NLP tasks deserving study are …

In recent years some researchers have explored the use of reinforcement learning (RL)
algorithms as key components in the solution of various natural language processing (NLP) …

Maintaining consistent personas is essential for dialogue agents. Although tremendous
advancements have been brought, the limited-scale of annotated persona-dense data are …

The field of Natural Language Processing (NLP) has undergone a significant transformation
with the introduction of Transformers. From the first introduction of this technology in 2017 …

The stylistic properties of text have intrigued computational linguistics researchers in recent
years. Specifically, researchers have investigated the text style transfer task (TST), which …

Personalized chatbots focus on endowing chatbots with a consistent personality to behave
like real users, give more informative responses, and further act as personal assistants …

Maintaining a consistent personality in conversations is quite natural for human beings, but
is still a non-trivial task for machines. The persona-based dialogue generation task is thus …

Recently, many prior works have made their own agents generate more personalized and
engaging responses using personachat. However, since this dataset is frozen in 2018, the …

Dialogue systems, also called chatbots, are now used in a wide range of applications.
However, they still have some major weaknesses. One key weakness is that they are …