Conversational AI is one of the most active research areas in AI, and it has gained more
attention from academia as well as industry. Given recent advancements in several …

In recent years, the availability of chatbot applications has increased substantially with the
advancement of artificial intelligence techniques, and research efforts have been active in …

Conversational models have witnessed a significant research interest in the last few years
with the advancements in sequence generation models. A challenging aspect in developing …

Social chatbots have gained immense popularity, and their appeal lies in their capacity to
respond to diverse requests, but also in their ability to develop an emotional connection with …

We present a comprehensive survey of available corpora for multi-party dialogue. We survey
over 300 publications related to multi-party dialogue and catalogue all available corpora in a …

Understanding and predicting the emotional trajectory in multi-party multi-turn conversations
is of great significance. Such information can be used, for example, to generate empathetic …

The general mental health instability due to COVID-19 was broadly detected by Wang,
Chudzicka-Czupała et al.(2021) in their study of eight countries of three continents, including …

The generation of personalized dialogue is vital to natural and human-like conversation.
Typically, personalized dialogue generation models involve conditioning the generated …

Affective text generation has been a topic of interest within the Natural Language Processing
community and has been left scarcely explored within the context of the gaming industry …

Recent advances in the field of Natural Language Processing, specifically in Natural
Language Generation (NLG) towards Dialogue Systems have focused mainly on two-party …