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Claim Optimization in Computational Argumentation.

, , and . INLG, page 134-152. Association for Computational Linguistics, (2023)

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Bias Silhouette Analysis: Towards Assessing the Quality of Bias Metrics for Word Embedding Models., and . IJCAI, page 552-559. ijcai.org, (2021)Key Point Analysis via Contrastive Learning and Extractive Argument Summarization., , , , , , , and . ArgMining@EMNLP, page 184-189. Association for Computational Linguistics, (2021)Argument from Old Man's View: Assessing Social Bias in Argumentation., and . CoRR, (2020)Playful User-Generated Treatment: A Novel Game Design Approach for VR Exposure Therapy., , , , , , , and . CHI PLAY, page 32-45. ACM, (2020)Claim Optimization in Computational Argumentation., , and . CoRR, (2022)CLEF ProtestNews Lab 2019: Contextualized Word Embeddings for Event Sentence Detection and Event Extraction., , and . CLEF (Working Notes), volume 2380 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)Is It Worth the Attention? A Comparative Evaluation of Attention Layers for Argument Unit Segmentation., , and . ArgMining@ACL, page 74-82. Association for Computational Linguistics, (2019)To Prefer or to Choose? Generating Agency and Power Counterfactuals Jointly for Gender Bias Mitigation, , and . Proceedings of the Fifth Workshop on Natural Language Processing and Computational Social Science, (2022)No Word Embedding Model Is Perfect: Evaluating the Representation Accuracy for Social Bias in the Media., , and . EMNLP (Findings), page 2081-2093. Association for Computational Linguistics, (2022)Claim Optimization in Computational Argumentation., , and . INLG, page 134-152. Association for Computational Linguistics, (2023)