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CoRAL: a Context-aware Croatian Abusive Language Dataset.

, , and . AACL/IJCNLP (Findings), page 217-225. Association for Computational Linguistics, (2022)

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Investigating cross-lingual training for offensive language detection., , , , and . PeerJ Comput. Sci., (2021)Beyond task success: A closer look at jointly learning to see, ask, and GuessWhat., , , , , , and . NAACL-HLT (1), page 2578-2587. Association for Computational Linguistics, (2019)Jointly Learning to See, Ask, Decide when to Stop, and then GuessWhat., , , and . CLiC-it, volume 2481 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)Tracing Linguistic Markers of Influence in a Large Online Organisation., , , , , , , , and . ACL (2), page 82-90. Association for Computational Linguistics, (2023)Neural Machine Translation for Low-Resource Languages: A Survey., , , , , and . CoRR, (2021)CWID-hi: A Dataset for Complex Word Identification in Hindi Text., , and . LREC, page 5627-5636. European Language Resources Association, (2022)Document Specific Sparse Coding for Word Retrieval., and . ICDAR, page 643-647. IEEE Computer Society, (2013)The time machine: A novel spike-based computation architecture., , and . ISCAS, page 685-688. IEEE, (2011)Ask No More: Deciding when to guess in referential visual dialogue., , , , , and . COLING, page 1218-1233. Association for Computational Linguistics, (2018)Making the Pick: Understanding Professional Editor Comment Curation in Online News., , , , and . ICWSM, page 557-568. AAAI Press, (2024)