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Using Pre-Trained Language Models for Producing Counter Narratives Against Hate Speech: a Comparative Study.

, , , and . ACL (Findings), page 3099-3114. Association for Computational Linguistics, (2022)

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Benchmarking the Generation of Fact Checking Explanations., , and . Trans. Assoc. Comput. Linguistics, (2023)Generating Counter Narratives against Online Hate Speech: Data and Strategies., , and . ACL, page 1177-1190. Association for Computational Linguistics, (2020)Using Pre-Trained Language Models for Producing Counter Narratives Against Hate Speech: a Comparative Study., , , and . ACL (Findings), page 3099-3114. Association for Computational Linguistics, (2022)FASTDial: Abstracting Dialogue Policies for Fast Development of Task Oriented Agents., , and . ACL (3), page 75-80. Association for Computational Linguistics, (2019)CONAN - COunter NArratives through Nichesourcing: a Multilingual Dataset of Responses to Fight Online Hate Speech., , , and . ACL (1), page 2819-2829. Association for Computational Linguistics, (2019)Toward Stance-based Personas for Opinionated Dialogues., , , and . EMNLP (Findings), volume EMNLP 2020 of Findings of ACL, page 2625-2635. Association for Computational Linguistics, (2020)PRODIGy: a PROfile-based DIalogue Generation dataset., , and . CoRR, (2023)Generating Challenge Datasets for Task-Oriented Conversational Agents through Self-Play., , and . RANLP, page 693-702. INCOMA Ltd., (2019)Visual Aids to the Rescue: Predicting Creativity in Multimodal Artwork., , and . CICLing (1), volume 13451 of Lecture Notes in Computer Science, page 3-16. Springer, (2019)Italian Counter Narrative Generation to Fight Online Hate Speech., , and . CLiC-it, volume 2769 of CEUR Workshop Proceedings, CEUR-WS.org, (2020)