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Using proprietary language models in academic research requires explicit justification.

, , and . Nat. Comput. Sci., 4 (1): 2-3 (2024)

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Semantic clause types and modality as features for argument analysis1., , and . Argument Comput., 8 (2): 95-112 (2017)AmericasNLI: Machine translation and natural language inference systems for Indigenous languages of the Americas., , , , , , , , , and 8 other author(s). Frontiers Artif. Intell., (2022)AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource Languages., , , , , , , , , and 7 other author(s). CoRR, (2021)UNT Linguistics at SemEval-2020 Task 12: Linear SVC with Pre-trained Word Embeddings as Document Vectors and Targeted Linguistic Features., and . SemEval@COLING, page 2209-2215. International Committee for Computational Linguistics, (2020)Genre Distinctions and Discourse Modes: Text Types Differ in their Situation Type Distributions., and . ArgNLP, volume 1341 of CEUR Workshop Proceedings, CEUR-WS.org, (2014)Bringing Active Learning to Life., , and . COLING, page 949-957. Tsinghua University Press, (2010)Evaluating FrameNet-style semantic parsing: the role of coverage gaps in FrameNet., and . COLING (Posters), page 928-936. Chinese Information Processing Society of China, (2010)How well does active learning., and . EMNLP, page 296-305. ACL, (2009)It's not a Non-Issue: Negation as a Source of Error in Machine Translation., , , and . EMNLP (Findings), volume EMNLP 2020 of Findings of ACL, page 3869-3885. Association for Computational Linguistics, (2020)Situation entity types: automatic classification of clause-level aspect., , and . ACL (1), The Association for Computer Linguistics, (2016)