Papers by Gyeongmin Kim

2 papers
KoCHET: A Korean Cultural Heritage Corpus for Entity-related Tasks (2022.coling-1)

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Challenge: Existing corpus for entity-related tasks is limited in terms of application and cannot be used for entity recognition.
Approach: They propose to use a Korean cultural heritage corpus for the typical entity-related tasks named entity recognition (NER), relation extraction (RE) and entity typing (ET) .
Outcome: The proposed corpus makes it more useful in terms of cultural heritage and provides practical insights in terms linguistic analysis.
QUAK: A Synthetic Quality Estimation Dataset for Korean-English Neural Machine Translation (2022.coling-1)

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Challenge: despite its high utility, there are limitations concerning manual QE data creation.
Approach: They propose to generate a Korean-English QE dataset that is fully automatic . they find that the algorithm is more accurate and faster than manual QE .
Outcome: The proposed datasets show that they scale up to 1.58M and 6.58M, respectively, and show that the results are significantly better when compared to the previous datasets.

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