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Diamonds in the Rough: Generating Fluent Sentences from Early-Stage Drafts for Academic Writing Assistance.

, , , , , , and . INLG, page 40-53. Association for Computational Linguistics, (2019)

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Psychometric Predictive Power of Large Language Models., , and . CoRR, (2023)Does Vision Accelerate Hierarchical Generalization of Neural Language Learners?. CoRR, (2023)An Empirical Study of Span Representations in Argumentation Structure Parsing., , , , , , and . ACL (1), page 4691-4698. Association for Computational Linguistics, (2019)Language Models as an Alternative Evaluator of Word Order Hypotheses: A Case Study in Japanese., , , and . ACL, page 488-504. Association for Computational Linguistics, (2020)To Drop or Not to Drop? Predicting Argument Ellipsis Judgments: A Case Study in Japanese., , , , and . LREC/COLING, page 16198-16210. ELRA and ICCL, (2024)Instance-Based Neural Dependency Parsing., , , , , , and . CoRR, (2021)Transformer Language Models Handle Word Frequency in Prediction Head., , , and . ACL (Findings), page 4523-4535. Association for Computational Linguistics, (2023)Langsmith: An Interactive Academic Text Revision System., , , , and . EMNLP (Demos), page 216-226. Association for Computational Linguistics, (2020)Topicalization in Language Models: A Case Study on Japanese., , , , and . COLING, page 851-862. International Committee on Computational Linguistics, (2022)Assessing Step-by-Step Reasoning against Lexical Negation: A Case Study on Syllogism., , , , and . EMNLP, page 14753-14773. Association for Computational Linguistics, (2023)