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Eyes are the Windows to the Soul: Predicting the Rating of Text Quality Using Gaze Behaviour
Research article (Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2018) · cited 17× · AI/ML
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APA4ort.xyz Knowledge Graph. (2026). Eyes are the Windows to the Soul: Predicting the Rating of Text Quality Using Gaze Behaviour. Retrieved May 24, 2026, from https://4ort.xyz/entity/eyes-are-the-windows-to-the-soul-predicting-the-rating-of-text-quality-using-gaze-behaviour
MLA“Eyes are the Windows to the Soul: Predicting the Rating of Text Quality Using Gaze Behaviour.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/eyes-are-the-windows-to-the-soul-predicting-the-rating-of-text-quality-using-gaze-behaviour.
BibTeX@misc{4ortxyz_eyes-are-the-windows-to-the-soul-predicting-the-rating-of-text-quality-using-gaze-behaviour_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Eyes are the Windows to the Soul: Predicting the Rating of Text Quality Using Gaze Behaviour}}, year = {2026}, url = {https://4ort.xyz/entity/eyes-are-the-windows-to-the-soul-predicting-the-rating-of-text-quality-using-gaze-behaviour}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Eyes are the Windows to the Soul: Predicting the Rating of Text Quality Using Gaze Behaviour — https://4ort.xyz/entity/eyes-are-the-windows-to-the-soul-predicting-the-rating-of-text-quality-using-gaze-behaviour (retrieved 2026-05-24)