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Tackling Hallucinations in Neural Chart Summarization.

, , , and . INLG, page 414-423. Association for Computational Linguistics, (2023)

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Examples and Specifications that Prove a Point: Identifying Elaborative and Argumentative Discourse Relations., and . Dialogue Discourse, 8 (2): 56-83 (2017)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)Syntactic complexity induces explicit grounding in the Maptask corpus., , and . INTERSPEECH, page 542. ISCA, (2008)Improving event prediction by representing script participants., and . HLT-NAACL, page 546-551. The Association for Computational Linguistics, (2016)Psycholinguistic Models of Sentence Processing Improve Sentence Readability Ranking., and . EACL (1), page 958-968. Association for Computational Linguistics, (2017)G-TUNA: a corpus of referring expressions in German, including duration information., , and . INLG, page 149-153. Association for Computational Linguistics, (2017)Improving Zero-Shot Multilingual Text Generation via Iterative Distillation., , and . COLING, page 5876-5881. International Committee on Computational Linguistics, (2022)Learning to Explicitate Connectives with Seq2Seq Network for Implicit Discourse Relation Classification., and . IWCS (1), page 188-199. Association for Computational Linguistics, (2019)Incremental Neo-Davidsonian semantic construction for TAG., and . TAG, page 64-72. ACL, (2012)