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Higher-order Comparisons of Sentence Encoder Representations.

, , , , and . EMNLP/IJCNLP (1), page 5837-5844. Association for Computational Linguistics, (2019)

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Higher-order Comparisons of Sentence Encoder Representations., , , , and . EMNLP/IJCNLP (1), page 5837-5844. Association for Computational Linguistics, (2019)What can we learn from Semantic Tagging?, , , , and . EMNLP, page 4881-4889. Association for Computational Linguistics, (2018)Discriminator at SemEval-2018 Task 10: Minimally Supervised Discrimination., , , and . SemEval@NAACL-HLT, page 1008-1012. Association for Computational Linguistics, (2018)MGAD: Multilingual Generation of Analogy Datasets., , and . LREC, European Language Resources Association (ELRA), (2018)Attention Can Reflect Syntactic Structure (If You Let It)., , , , and . EACL, page 3031-3045. Association for Computational Linguistics, (2021)Can Language Models Encode Perceptual Structure Without Grounding? A Case Study in Color., , , , , and . CoNLL, page 109-132. Association for Computational Linguistics, (2021)Do Neural Language Models Show Preferences for Syntactic Formalisms?, , , and . ACL, page 4077-4091. Association for Computational Linguistics, (2020)AffecThor at SemEval-2018 Task 1: A cross-linguistic approach to sentiment intensity quantification in tweets., , and . SemEval@NAACL-HLT, page 210-217. Association for Computational Linguistics, (2018)The Power of Character N-grams in Native Language Identification., , , , , , and . BEA@EMNLP, page 382-389. Association for Computational Linguistics, (2017)Investigating UD Treebanks via Dataset Difficulty Measures., and . EACL, page 1076-1089. Association for Computational Linguistics, (2023)