Papers by Yves Bestgen

2 papers
Please, Don’t Forget the Difference and the Confidence Interval when Seeking for the State-of-the-Art Status (2022.lrec-1)

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Challenge: comparing NLP systems by performance has become an essential question . comparing systems by performing performance criterion is criticized for allowing chance to determine superiority .
Approach: They propose to use bootstrap confidence intervals instead of state-of-the-art status and statistical significance testing to compare NLP system performance.
Outcome: The bootstrap confidence intervals are used to compare NLP system performance . the bootstrap test is more accurate than state-of-the-art status and statistical significance testing .
Reproducing Monolingual, Multilingual and Cross-Lingual CEFR Predictions (2020.lrec-1)

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Challenge: POStag and dependency n-grams are more effective than text length and global linguistic indices for this kind of task.
Approach: They propose to use POStag and dependency n-grams to predict the quality of a text written by learners of another language to categorize texts according to their CEFR level.
Outcome: The proposed model is more effective than POStag and dependency n-grams in cross-lingual experiments than the previous models.

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