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Being Negative but Constructively: Lessons Learnt from Creating Better Visual Question Answering Datasets

Research article (Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers), 2018) · cited 35× · AI/ML
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Being Negative but Constructively: Lessons Learnt from Creating Better Visual Question Answering Datasets

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Being Negative but Constructively: Lessons Learnt from Creating Better Visual Question Answering Datasets is a scholarly article[1].

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Being Negative but Constructively: Lessons Learnt from Creating Better Visual Question Answering Datasets. Retrieved May 24, 2026, from https://4ort.xyz/entity/being-negative-but-constructively-lessons-learnt-from-creating-better-visual-question-answering-datasets
MLA “Being Negative but Constructively: Lessons Learnt from Creating Better Visual Question Answering Datasets.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/being-negative-but-constructively-lessons-learnt-from-creating-better-visual-question-answering-datasets.
BibTeX @misc{4ortxyz_being-negative-but-constructively-lessons-learnt-from-creating-better-visual-question-answering-datasets_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Being Negative but Constructively: Lessons Learnt from Creating Better Visual Question Answering Datasets}}, year = {2026}, url = {https://4ort.xyz/entity/being-negative-but-constructively-lessons-learnt-from-creating-better-visual-question-answering-datasets}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Being Negative but Constructively: Lessons Learnt from Creating Better Visual Question Answering Datasets — https://4ort.xyz/entity/being-negative-but-constructively-lessons-learnt-from-creating-better-visual-question-answering-datasets (retrieved 2026-05-24)

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