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SemEval-2023 Task 11: Learning with Disagreements (LeWiDi).

, , , , , , , , and . SemEval@ACL, page 2304-2318. Association for Computational Linguistics, (2023)

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When POS data sets don't add up: Combatting sample bias., , and . LREC, page 4472-4475. European Language Resources Association (ELRA), (2014)Subdomain Sensitive Statistical Parsing using Raw Corpora., and . LREC, European Language Resources Association, (2008)When is multitask learning effective? Semantic sequence prediction under varying data conditions, and . (2016)cite arxiv:1612.02251Comment: In EACL 2017.LoHoRavens: A Long-Horizon Language-Conditioned Benchmark for Robotic Tabletop Manipulation., , , , , , , and . CoRR, (2023)Longitudinal Citation Prediction using Temporal Graph Neural Networks., , , and . CoRR, (2020)Establishing Trustworthiness: Rethinking Tasks and Model Evaluation., , , , and . CoRR, (2023)All-In-1 at IJCNLP-2017 Task 4: Short Text Classification with One Model for All Languages.. IJCNLP (Shared Tasks), page 143-148. Asian Federation of Natural Language Processing, (2017)SemEval-2023 Task 11: Learning with Disagreements (LeWiDi)., , , , , , , , and . SemEval@ACL, page 2304-2318. Association for Computational Linguistics, (2023)Sliced at SemEval-2022 Task 11: Bigger, Better? Massively Multilingual LMs for Multilingual Complex NER on an Academic GPU Budget.. SemEval@NAACL, page 1494-1500. Association for Computational Linguistics, (2022)Buhscitu at SemEval-2020 Task 7: Assessing Humour in Edited News Headlines Using Hand-Crafted Features and Online Knowledge Bases., , , , and . SemEval@COLING, page 824-832. International Committee for Computational Linguistics, (2020)