Elena Demidova.
Abstract: AI-empowered dialog systems become increasingly widespread, with over 40 million units of Amazon Alexa and Google Home installed alone in US in 2017, according to recent surveys. Whereas this adoption facilitates AI-based systems to engage in end user dialogs on an unprecedented scale, the ability of AI to learn from their human dialog partners is still substantially limited and mostly restricted to pre-defined feedback options and, eventually, basic data labeling. In this paper we discuss opportunities and challenges on the interface of knowledge representation and human computer interaction towards more expressive dialogs between end users and AI dialog systems facilitating AI systems to directly gain knowledge from their end users.
Keywords: Dialog systems; Knowledge graphs; HCI