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SQuARe: A Large-Scale Dataset of Sensitive Questions and Acceptable Responses Created through Human-Machine Collaboration.

, , , , , , , , , , , , and . ACL (1), page 6692-6712. Association for Computational Linguistics, (2023)

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Toward machine-assisted participation in eRulemaking: an argumentation model of evaluability., , and . ICAIL, page 206-210. ACM, (2015)Argument Mining on Twitter: A Case Study on the Planned Parenthood Debate., , and . ArgMining@EMNLP, page 1-11. Association for Computational Linguistics, (2021)Conditional Random Fields for Identifying Appropriate Types of Support for Propositions in Online User Comments., , and . ArgMining@HLT-NAACL, page 39-44. The Association for Computational Linguistics, (2015)Using SPM 12's Second-Level Bayesian Inference Procedure for fMRI Analysis: Practical Guidelines for End Users., and . Frontiers Neuroinformatics, (2018)Critic-Guided Decoding for Controlled Text Generation., , , , , and . ACL (Findings), page 4598-4612. Association for Computational Linguistics, (2023)Automated Fact-Checking of Claims from Wikipedia., , , , and . LREC, page 6874-6882. European Language Resources Association, (2020)Plug-and-Play Adaptation for Continuously-updated QA., , , , , and . ACL (Findings), page 438-447. Association for Computational Linguistics, (2022)DADA: Distribution-Aware Domain Adaptation of PLMs for Information Retrieval., , , and . ACL (Findings), page 13882-13893. Association for Computational Linguistics, (2024)Glove-Based Sensor Support for Dynamic Tangible Buttons in Spatial Augmented Reality Design Environments., , , , , , and . ISWC, page 109-110. IEEE Computer Society, (2011)ClaimDiff: Comparing and Contrasting Claims on Contentious Issues., , , , , and . ACL (Findings), page 4711-4731. Association for Computational Linguistics, (2023)