Papers with cross-corpora evaluation

1 papers
Cross-Corpora Evaluation and Analysis of Grammatical Error Correction Models — Is Single-Corpus Evaluation Enough? (N19-1)

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Challenge: Existing studies have evaluated grammatical error correction models on a single corpus, but the evaluation is incomplete because the task difficulty varies depending on the corpus and conditions such as proficiency levels of the writers and essay topics.
Approach: They evaluate the performance of several GEC models against various learner corpora and compare their rankings against the corpus.
Outcome: The evaluation of several models against learner corpora shows that the models’ rankings vary depending on the corpus, indicating that single-corpus evaluation is insufficient for GEC models.

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