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Identifying Annotator Bias: A new IRT-based method for bias identification.

, , and . COLING, page 4787-4797. International Committee on Computational Linguistics, (2020)

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Supporting Computing and Technology distance learning students with developing argumentation skills.. EDUCON, page 258-267. IEEE, (2013)A model of suspense for narrative generation., and . INLG, page 178-187. Association for Computational Linguistics, (2017)Evaluation methodologies in Automatic Question Generation 2013-2018., , and . INLG, page 307-317. Association for Computational Linguistics, (2018)The First Question Generation Shared Task Evaluation Challenge., , , , , and . INLG, The Association for Computer Linguistics, (2010)The CODA System for Monologue-to-Dialogue Generation., and . SIGDIAL Conference, page 335-337. The Association for Computer Linguistics, (2011)Opening up Minds with Argumentative Dialogues., , , , , , and . EMNLP (Findings), page 4569-4582. Association for Computational Linguistics, (2022)The use of rating and Likert scales in Natural Language Generation human evaluation tasks: A review and some recommendations., , and . INLG, page 397-402. Association for Computational Linguistics, (2019)What is NLG?, , and . INLG, page 144-151. Association for Computational Linguistics, (2002)Harvesting Re-usable High-level Rules for Expository Dialogue Generation., and . INLG, The Association for Computer Linguistics, (2010)Measuring Non-cooperation in Dialogue., and . COLING, page 1925-1936. ACL, (2016)