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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)Fully Generated Scripted Dialogue for Embodied Agents, , , , , and . Artificial Intelligence, 172 (10): 1219-1244 (2008)Learning to program: from problems to code., , , and . CEP, page 14:1-14:4. ACM, (2019)Varieties of Question Generation: Introduction to this Special Issue., and . D&D, 3 (2): 1-9 (2012)Opening up Minds with Argumentative Dialogues., , , , , , and . CoRR, (2023)T2D: Generating Dialogues Between Virtual Agents Automatically from Text., , , and . IVA, volume 4722 of Lecture Notes in Computer Science, page 161-174. Springer, (2007)Identifying Annotator Bias: A new IRT-based method for bias identification., , and . COLING, page 4787-4797. International Committee on Computational Linguistics, (2020)