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

Time Series Classification (TSC) problems are encountered in many real life data mining
tasks ranging from medicine and security to human activity recognition and food safety. With …

The major application areas of reinforcement learning (RL) have traditionally been game
playing and continuous control. In recent years, however, RL has been increasingly applied …

Task-oriented dialog systems enable users to accomplish tasks using natural language.
State-of-the-art systems respond to users in the same way regardless of their personalities …

Open-domain dialog generation, which is a crucial component of artificial intelligence, is an
essential and challenging problem. In this article, we present a personalized dialog system …

Abstract Variational autoencoders (VAEs) and Wasserstein autoencoders (WAEs) have
achieved noticeable progress in open-domain response generation. Through introducing …

In recent years, with the development of deep learning, text-generation technology has
undergone great changes and provided many kinds of services for human beings, such as …

Building a personalized task-oriented dialogue system is an important but challenging task.
Significant success has been achieved in the template selection responses. However …

Question answering (QA) in the legal domain has gained increasing popularity for people to
seek legal advice. However, existing QA systems struggle to comprehend the legal context …

Constructing a personalized end-to-end task-oriented dialogue system is one of the most
important and challenging tasks in natural language processing technology. Slot-filling has …