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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.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)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)Mining for unambiguous instances to adapt part-of-speech taggers to new domains., , , and . HLT-NAACL, page 1256-1261. The Association for Computational Linguistics, (2015)Using Frame Semantics for Knowledge Extraction from Twitter., , and . AAAI, page 2447-2452. AAAI Press, (2015)On the Effectiveness of Dataset Embeddings in Mono-lingual, Multi-lingual and Zero-shot Conditions., , and . CoRR, (2021)Longitudinal Citation Prediction using Temporal Graph Neural Networks., , , and . CoRR, (2020)Proceedings of the First Workshop on Weakly Supervised Learning (WeaSuL)., , , , , and . CoRR, (2021)LoHoRavens: A Long-Horizon Language-Conditioned Benchmark for Robotic Tabletop Manipulation., , , , , , , and . CoRR, (2023)