Controllable Text Generation (CTG) is an emerging area in the field of natural language
generation (NLG). It is regarded as crucial for the development of advanced text generation …

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 …

The goal of text-to-text generation is to make machines express like a human in many
applications such as conversation, summarization, and translation. It is one of the most …

Applying existing methods to emotional support conversation--which provides valuable
assistance to people who are in need--has two major limitations:(a) they generally employ a …

Conversational technologies are transforming the landscape of human‐machine interaction.
Chatbots are increasingly being used in several domains to substitute human agents in …

Current approaches to empathetic response generation focus on learning a model to predict
an emotion label and generate a response based on this label and have achieved …

Multi-task learning (MTL) has become increasingly popular in natural language processing
(NLP) because it improves the performance of related tasks by exploiting their …

Lack of external knowledge makes empathetic dialogue systems difficult to perceive implicit
emotions and learn emotional interactions from limited dialogue history. To address the …

With the development of intelligent agents pursuing humanisation, artificial intelligence must
consider emotion, the most basic spiritual need in human interaction. Traditional emotional …

A humanized dialogue system is expected to generate empathetic replies, which should be
sensitive to the users' expressed emotion. The task of empathetic dialogue generation is …