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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)

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Using SPM 12's Second-Level Bayesian Inference Procedure for fMRI Analysis: Practical Guidelines for End Users., and . Frontiers Neuroinformatics, (2018)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)Argument Mining on Twitter: A Case Study on the Planned Parenthood Debate., , and . ArgMining@EMNLP, page 1-11. Association for Computational Linguistics, (2021)Toward machine-assisted participation in eRulemaking: an argumentation model of evaluability., , and . ICAIL, page 206-210. ACM, (2015)Automated Fact-Checking of Claims from Wikipedia., , , , and . LREC, page 6874-6882. European Language Resources Association, (2020)Critic-Guided Decoding for Controlled Text Generation., , , , , and . ACL (Findings), page 4598-4612. Association for Computational Linguistics, (2023)DADA: Distribution-Aware Domain Adaptation of PLMs for Information Retrieval., , , and . ACL (Findings), page 13882-13893. Association for Computational Linguistics, (2024)Plug-and-Play Adaptation for Continuously-updated QA., , , , , and . ACL (Findings), page 438-447. Association for Computational Linguistics, (2022)Merging Tangible Buttons and Spatial Augmented Reality to Support Ubiquitous Prototype Designs., , , , , , and . AUIC, volume 126 of CRPIT, page 29-38. Australian Computer Society, (2012)A Corpus of eRulemaking User Comments for Measuring Evaluability of Arguments., and . LREC, European Language Resources Association (ELRA), (2018)