Introduction Online reviews have become an important source of information for
investigating customers' consumption experiences in academic studies. In the context of …

Chatbots are dialog engines for interactive user experience which help by providing
stakeholders such as consumers, device owners, maintenance workers, and so on with real …

Deep question generation (DQG) refers to generating a complex question from different
sentences in context. Existing methods mainly focus on enhancing information extraction …

With the rapid development of economy and society, environmental pressure is increasing
and environmental problems are emerging. The pollution of urban water environment is …

Target-guided response generation enables dialogue systems to smoothly transition a
conversation from a dialogue context toward a target sentence. Such control is useful for …

This paper applies text analytics to study how the orientation of an endorsement strategy
affects the public's willingness to participate in citizen science projects. Using 850 citizen …

Building dialogue generation systems in a zero-shot scenario remains a huge challenge,
since the typical zero-shot approaches in dialogue generation rely heavily on large-scale …

Knowing how to end and resume conversations over time is a natural part of communication,
allowing for discussions to span weeks, months, or years. The duration of gaps between …

Dialogue is a process of information exchanging, where global background is stable while
local focuses are transiting. Thus, at the ongoing dialogue turn, there are both relevant and …

Incorporating conversational context and knowledge into dialogue generation models has
been essential for improving the quality of the generated responses. The context, comprising …