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The Lacunae of Danish Natural Language Processing.

, , , and . NODALIDA, page 356-362. Linköping University Electronic Press, (2019)

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When is multitask learning effective? Semantic sequence prediction under varying data conditions, and . (2016)cite arxiv:1612.02251Comment: In EACL 2017.Subdomain Sensitive Statistical Parsing using Raw Corpora., and . LREC, European Language Resources Association, (2008)When POS data sets don't add up: Combatting sample bias., , and . LREC, page 4472-4475. European Language Resources Association (ELRA), (2014)LoHoRavens: A Long-Horizon Language-Conditioned Benchmark for Robotic Tabletop Manipulation., , , , , , , and . CoRR, (2023)Establishing Trustworthiness: Rethinking Tasks and Model Evaluation., , , , and . CoRR, (2023)Longitudinal Citation Prediction using Temporal Graph Neural Networks., , , and . CoRR, (2020)NLP North at WNUT-2020 Task 2: Pre-training versus Ensembling for Detection of Informative COVID-19 English Tweets., , and . W-NUT@EMNLP, page 331-336. Association for Computational Linguistics, (2020)Lexical Resources for Low-Resource PoS Tagging in Neural Times., and . NODALIDA, page 25-34. Linköping University Electronic Press, (2019)Low-resource Bilingual Dialect Lexicon Induction with Large Language Models., and . NoDaLiDa, page 371-385. University of Tartu Library, (2023)Active learning for sense annotation., , , and . NODALIDA, volume 109 of Linköping Electronic Conference Proceedings, page 245-249. Linköping University Electronic Press / Association for Computational Linguistics, (2015)