Information-Seeking Chat: Dialogues Driven by Topic-Structure

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QuAC: Question Answering in Context (2018, background): “In information-seeking dialog, students repeatedly ask teachers questions to learn about a topic of interest (Stede and Schlangen, 2004).”
A Corpus of Controlled Opinionated and Knowledgeable Movie Discussions for Training Neural Conversation Models (2020, background): “…dialogue modelling used to be mostly rule-based with the dialogue being driven by pre-speciﬁed knowledge representations (e.g., (Bobrow et al., 1977), (Traum and Larsson, 2003), (Stede and Schlangen, 2004)), recent years have seen efforts of basing this task on models directly learned from data.”
Dialog Inpainting: Turning Documents into Dialogs (2022, background): “Conversational question answering systems (ConvQA) (Stede & Schlangen, 2004; Radlinski & Craswell, 2017; Culpepper et al., 2018), would empower users to answer these questions as if they could discuss with an expert at any time.”