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cs.CL2024
Improving Explainability of Sentence-level Metrics via Edit-level Attribution for Grammatical Error Correction
Takumi Goto, Justin Vasselli, Taro Watanabe
Various evaluation metrics have been proposed for Grammatical Error Correction (GEC), but many, particularly reference-free metrics, lack explainability. This lack of explainabilit…
cs.CL2024
Acquiring Bidirectionality via Large and Small Language Models
Takumi Goto, Hiroyoshi Nagao, Yuta Koreeda
Using token representation from bidirectional language models (LMs) such as BERT is still a widely used approach for token-classification tasks. Even though there exist much larger…