Who cites «Revisiting the Uniform Information Density Hypothesis»
- Testing the Predictions of Surprisal Theory in 11 LanguagesTransactions of the Association for Computational Linguistics (TACL)Ethan G. Wilcox, Tiago Pimentel, Clara Meister, et al.2023 · 158 citations
- Truncation Sampling as Language Model DesmoothingFindings of the Association for Computational LinguisticsJohn Hewitt, Christopher Manning, Percy Liang2022 · 92 citations
- On the Proper Treatment of Tokenization in PsycholinguisticsConference on Empirical Methods in Natural Language Processing (EMNLP)Mario Giulianelli, Luca Malagutti, Juan Luis Gastaldi, et al.2024 · 23 citations
- Clozing the Gap: Exploring Why Language Model Surprisal Outperforms Cloze SurprisalAnnual Meeting of the Association for Computational Linguistics (ACL)Sathvik Nair, Byung-Doh Oh2026 · 1 citation
- Surprisal and Metaphor Novelty Judgments: Moderate Correlations and Divergent Scaling Effects Revealed by Corpus-Based and Synthetic DatasetsConference of the European Chapter of the Association for Computational Linguistics (EACL)Omar Momen, Emilie Sitter, Berenike Herrmann, et al.2026 · 1 citation
This page in Markdown → https://md.research.elamur.ai/free/en/papers/meister-2021-revisiting-uniform-information-density-hypothesis/cited-by/