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ClarQ: A large-scale and diverse dataset for Clarification Question Generation

Research article (Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020) · cited 32× · AI/ML
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ClarQ: A large-scale and diverse dataset for Clarification Question Generation

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ClarQ: A large-scale and diverse dataset for Clarification Question Generation is a scholarly article[1].

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  • ClarQ: A large-scale and diverse dataset for Clarification Question Generation's instance of is recorded as scholarly article[2].

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Alan W. Black

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  1. [1] ↑ . Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). ClarQ: A large-scale and diverse dataset for Clarification Question Generation. Retrieved May 24, 2026, from https://4ort.xyz/entity/clarq-a-large-scale-and-diverse-dataset-for-clarification-question-generation
MLA “ClarQ: A large-scale and diverse dataset for Clarification Question Generation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/clarq-a-large-scale-and-diverse-dataset-for-clarification-question-generation.
BibTeX @misc{4ortxyz_clarq-a-large-scale-and-diverse-dataset-for-clarification-question-generation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{ClarQ: A large-scale and diverse dataset for Clarification Question Generation}}, year = {2026}, url = {https://4ort.xyz/entity/clarq-a-large-scale-and-diverse-dataset-for-clarification-question-generation}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): ClarQ: A large-scale and diverse dataset for Clarification Question Generation — https://4ort.xyz/entity/clarq-a-large-scale-and-diverse-dataset-for-clarification-question-generation (retrieved 2026-05-24)

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