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- W4385569997 abstract "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." @default.
- W4385569997 created "2023-08-05" @default.
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- W4385569997 date "2023-01-01" @default.
- W4385569997 modified "2023-09-24" @default.
- W4385569997 title "GrounDialog: A Dataset for Repair and Grounding in Task-oriented Spoken Dialogues for Language Learning" @default.
- W4385569997 doi "https://doi.org/10.18653/v1/2023.bea-1.26" @default.
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