GrounDialog: A Dataset for Repair and Grounding in Task-oriented Spoken Dialogues for Language Learning
Xuanming Zhang, Rahul R. Divekar, Rutuja Ubale, Yu Zhou · 2023
Improving conversational proficiency is a key target for students learning a new language.While acquiring conversational proficiency, students must learn the linguistic mechanisms of Repair and Grounding (R&G) to negotiate meaning and find common ground with their interlocutor so conversational breakdowns can be resolved.Task-oriented Spoken Dialogue Systems (SDS) have long been sought as a tool to hone conversational proficiency.However, the R&G patterns for language learners interacting with a task-oriented spoken dialogue system are not reflected explicitly in any existing datasets.Therefore, to move the needle in Spoken Dialogue Systems for language learning we present GrounDialog: an annotated dataset of spoken conversations where we elicit a rich set of R&G patterns.