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Using surprisal and fMRI to map the neural bases of broad and local contextual prediction during natural language comprehension.

, and . ACL/IJCNLP (Findings), volume ACL/IJCNLP 2021 of Findings of ACL, page 3786-3798. Association for Computational Linguistics, (2021)

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The Alice Datasets: fMRI & EEG Observations of Natural Language Comprehension., , , , and . LREC, page 120-125. European Language Resources Association, (2020)Modeling Incremental Language Comprehension in the Brain with Combinatory Categorial Grammar., , , , , , and . CMLS, page 23-38. Association for Computational Linguistics, (2021)Processing MWEs: Neurocognitive Bases of Verbal MWEs and Lexical Cohesiveness within MWEs., , and . LAW-MWE-CxG@COLING, page 6-17. Association for Computational Linguistics, (2018)Automatic Identification of Rhetorical Questions., , , and . ACL (2), page 743-749. The Association for Computer Linguistics, (2015)Using surprisal and fMRI to map the neural bases of broad and local contextual prediction during natural language comprehension., and . ACL/IJCNLP (Findings), volume ACL/IJCNLP 2021 of Findings of ACL, page 3786-3798. Association for Computational Linguistics, (2021)