There is a resurgent interest in develo** intelligent open-domain dialog systems due to
the availability of large amounts of conversational data and the recent progress on neural …

Recent years have witnessed a surge of interest in the field of open-domain dialogue.
Thanks to the rapid development of social media, large dialogue corpus from the Internet …

Messages in human conversations inherently convey emotions. The task of detecting
emotions in textual conversations leads to a wide range of applications such as opinion …

Pre-trained language models (LMs) store knowledge in their parameters and can generate
informative responses when used in conversational systems. However, LMs suffer from the …

End-to-end neural models for intelligent dialogue systems suffer from the problem of
generating uninformative responses. Various methods were proposed to generate more …

Though great progress has been made for human-machine conversation, current dialogue
system is still in its infancy: it usually converses passively and utters words more as a matter …

Joint extraction of entities and relations is an important task in natural language processing
(NLP), which aims to capture all relational triplets from plain texts. This is a big challenge …

Human conversations naturally evolve around related concepts and scatter to multi-hop
concepts. This paper presents a new conversation generation model, ConceptFlow, which …

Generative dialogue systems tend to produce generic responses, which often leads to
boring conversations. For alleviating this issue, Recent studies proposed to retrieve and …

Beyond current conversational chatbots or task-oriented dialogue systems that have
attracted increasing attention, we move forward to develop a dialogue system for automatic …