Lexically constrained text generation (CTG) is to generate text that contains given
constrained keywords. However, the text diversity of existing models is still unsatisfactory. In …

Empathetic response generation is a crucial task in natural language processing, enabling
emotionally resonant machine–human interactions. In this paper, we introduce the InfRa …

Empathetic response generation endeavours to perceive the interlocutor's emotional and
cognitive states in the dialogue and express proper responses. Previous studies detect the …

User Simulators play a pivotal role in training and evaluating task-oriented dialogue
systems. Traditional user simulators typically rely on human-engineered agendas, resulting …

The negative herding effect tends to cause the spread of negative emotions among netizens,
resulting in significant public opinion crises. Therefore, linking the negative herding effect …

Sentiment-controlled text generation aims to generate texts according to the given
sentiment. However, most of the existing studies focus only on the document-or sentence …

Biological processes such as transcription, repair, and regulation require interactions
between DNA and proteins. To unravel their functions, it is imperative to determine the high …

Hard-constrained text generation (Hard-CTG) task aims to generate text with given
keywords, which is helpful for summarization, data augmentation, story writing, etc. Existing …

To address the issues of insufficient temporal information feature extraction and detection
accuracy in natural gas pipeline leakage detection, we propose ECNet, an intelligent …

Generating coherent and credible explanations remains a significant challenge in the field of
AI. In recent years, researchers have delved into the utilization of entailment trees to depict …