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Can Transformer Models Measure Coherence In Text: Re-Thinking the Shuffle Test

Research article (Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), 2021) · cited 19× · AI/ML
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Can Transformer Models Measure Coherence In Text: Re-Thinking the Shuffle Test is a scholarly article[1].

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  • Instance of: scholarly article[2]

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Marti A. Hearst

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  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Can Transformer Models Measure Coherence In Text: Re-Thinking the Shuffle Test. Retrieved May 24, 2026, from https://4ort.xyz/entity/can-transformer-models-measure-coherence-in-text-re-thinking-the-shuffle-test
MLA “Can Transformer Models Measure Coherence In Text: Re-Thinking the Shuffle Test.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/can-transformer-models-measure-coherence-in-text-re-thinking-the-shuffle-test.
BibTeX @misc{4ortxyz_can-transformer-models-measure-coherence-in-text-re-thinking-the-shuffle-test_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Can Transformer Models Measure Coherence In Text: Re-Thinking the Shuffle Test}}, year = {2026}, url = {https://4ort.xyz/entity/can-transformer-models-measure-coherence-in-text-re-thinking-the-shuffle-test}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Can Transformer Models Measure Coherence In Text: Re-Thinking the Shuffle Test — https://4ort.xyz/entity/can-transformer-models-measure-coherence-in-text-re-thinking-the-shuffle-test (retrieved 2026-05-24)

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