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Sensitivity as a Complexity Measure for Sequence Classification Tasks.

, , and . Trans. Assoc. Comput. Linguistics, (2021)

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The Natural Stories corpus: a reading-time corpus of English texts containing rare syntactic constructions., , , , , , and . Lang. Resour. Evaluation, 55 (1): 63-77 (2021)Validity, Reliability, and Significance: Empirical Methods for NLP and Data Science.. Comput. Linguistics, 49 (1): 249-251 (March 2023)Neural language models as psycholinguistic subjects: Representations of syntactic state., , , , , and . NAACL-HLT (1), page 32-42. Association for Computational Linguistics, (2019)Structural Supervision Improves Learning of Non-Local Grammatical Dependencies., , , , and . NAACL-HLT (1), page 3302-3312. Association for Computational Linguistics, (2019)A Generative Model of Phonotactics., , , and . Trans. Assoc. Comput. Linguistics, (2017)A Cross-Linguistic Pressure for Uniform Information Density in Word Order., , , , , , and . CoRR, (2023)The Natural Stories Corpus., , , , , , and . LREC, European Language Resources Association (ELRA), (2018)The Linearity of the Effect of Surprisal on Reading Times across Languages., , , and . EMNLP (Findings), page 15711-15721. Association for Computational Linguistics, (2023)An Information-Theoretic Explanation of Adjective Ordering Preferences., , , , and . CogSci, cognitivesciencesociety.org, (2018)Hierarchical Representation in Neural Language Models: Suppression and Recovery of Expectations., , and . BlackboxNLP@ACL, page 181-190. Association for Computational Linguistics, (2019)