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Improving fit to human reading times via temperature-scaled surprisal., , and . CoRR, (2023)Unsupervised Pidgin Text Generation By Pivoting English Data and Self-Training., , , and . AfricaNLP, (2020)Improving event prediction by representing script participants., and . HLT-NAACL, page 546-551. The Association for Computational Linguistics, (2016)The SelectGen Challenge: Finding the Best Training Samples for Few-Shot Neural Text Generation., , , and . INLG, page 325-330. Association for Computational Linguistics, (2021)Partner effects and individual differences on perspective taking., and . CogSci, cognitivesciencesociety.org, (2022)A bathtub by any other name: the reduction of German compounds in predictive contexts., and . CogSci, cognitivesciencesociety.org, (2021)Do large language models and humans have similar behaviours in causal inference with script knowledge?, , , and . *SEM@NAACL, page 421-437. Association for Computational Linguistics, (2024)Implicit Discourse Relation Classification For Nigerian Pidgin., , and . CoRR, (2024)Human Speech Perception in Noise: Can Large Language Models Paraphrase to Improve It?, , , and . CoRR, (2024)Learning to Explicitate Connectives with Seq2Seq Network for Implicit Discourse Relation Classification., and . IWCS (1), page 188-199. Association for Computational Linguistics, (2019)