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Seokjin Oh

2 accepted papers

2024

Beyond Reference: Evaluating High Quality Translations Better than Human References

EMNLP 2024main

In Machine Translation (MT) evaluations, the conventional approach is to compare a translated sentence against its human-created reference sentence. MT metrics provide an absolute score (e.g., from 0 to 1) to a candidate sentence based on the similarity with the reference sentence. Thus, existing MT…

2023

Enhancing Low-resource Fine-grained Named Entity Recognition by Leveraging Coarse-grained Datasets

EMNLP 2023long main

Named Entity Recognition (NER) frequently suffers from the problem of insufficient labeled data, particularly in fine-grained NER scenarios. Although $K$-shot learning techniques can be applied, their performance tends to saturate when the number of annotations exceeds several tens of labels. To ov…

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