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On Dimensional Linguistic Properties of the Word Embedding Space.

, , , and . RepL4NLP@ACL, page 156-165. Association for Computational Linguistics, (2020)

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Ranking Clarification Questions via Natural Language Inference., , and . CIKM, page 2093-2096. ACM, (2020)On Dimensional Linguistic Properties of the Word Embedding Space., , , and . RepL4NLP@ACL, page 156-165. Association for Computational Linguistics, (2020)Do GPTs Produce Less Literal Translations?, , , and . ACL (2), page 1041-1050. Association for Computational Linguistics, (2023)Dissecting In-Context Learning of Translations in GPT-3., , and . EMNLP (Findings), page 866-872. Association for Computational Linguistics, (2023)Finding Memo: Extractive Memorization in Constrained Sequence Generation Tasks., and . EMNLP (Findings), page 5153-5162. Association for Computational Linguistics, (2022)Effective Dimensionality Reduction for Word Embeddings., , and . RepL4NLP@ACL, page 235-243. Association for Computational Linguistics, (2019)The Curious Case of Hallucinations in Neural Machine Translation., , and . NAACL-HLT, page 1172-1183. Association for Computational Linguistics, (2021)On Leveraging the Visual Modality for Neural Machine Translation., , , , and . INLG, page 147-151. Association for Computational Linguistics, (2019)SALTED: A Framework for SAlient Long-tail Translation Error Detection., , and . EMNLP (Findings), page 5163-5179. Association for Computational Linguistics, (2022)How Good Are GPT Models at Machine Translation? A Comprehensive Evaluation., , , , , , , , and . CoRR, (2023)