"Are you telling me to put glasses on the dog?'' Content-Grounded Annotation of Instruction Clarification Requests in the CoDraw Dataset
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Abstract (arXiv)
Instruction Clarification Requests are a mechanism to solve communication problems, which is very functional in instruction-following interactions. Recent work has argued that the CoDraw dataset is a valuable source of naturally occurring iCRs. Beyond identifying when iCRs should be made, dialogue models should also be able to generate them with suitable form and content. In this work, we introduce CoDraw-iCR (v2), extending the existing iCR identifiers with fine-grained information grounded in the underlying dialogue game items and possible actions. Our annotation can serve to model and evaluate repair capabilities of dialogue agents.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 5 of its 27 references that are in the map. First posted on arXiv 4 Jun 2023.
Builds on
5 of 27 references.
References · 5
- 2014Adam: A Method for Stochastic Optimizationcited by 37,240
- 2022Learning to Execute Actions or Ask Clarification Questionscited by 30
- 2021A recipe for annotating grounded clarificationscited by 13
- 2021How Should Agents Ask Questions For Situated Learning? An Annotated Dialogue Corpuscited by 11
- 2023Instruction Clarification Requests in Multimodal Collaborative Dialogue Games: Tasks, and an Analysis of the CoDraw Datasetcited by 11
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Citing papers per year: 2023: 1; 2024: 2.
3 papers.
- 2024Taking Action Towards Graceful Interaction: The Effects of Performing Actions on Modelling Policies for Instruction Clarification Requestscited by 4
- 2023Solving Dialogue Grounding Embodied Task in a Simulated Environment using Further Masked Language Modelingcited by 0
- 2024Improving Agent Interactions in Virtual Environments with Language Modelscited by 0
- 2024Improving Agent Interactions in Virtual Environments with Language Models8 Feb 2024
- 2024Taking Action Towards Graceful Interaction: The Effects of Performing Actions on Modelling Policies for Instruction Clarification Requests30 Jan 2024
- 2023Solving Dialogue Grounding Embodied Task in a Simulated Environment using Further Masked Language Modeling21 Jun 2023