Papers by Jean Oh

2 papers
Korean Bio-Medical Corpus (KBMC) for Medical Named Entity Recognition (2024.lrec-main)

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Challenge: Named Entity Recognition (NER) plays a pivotal role in medical Natural Language Processing (NLP) yet, there is no open-source medical NER dataset specifically for Korean.
Approach: They used ChatGPT to construct an open-source Korean NER dataset . they found 20% increase in medical NER performance compared to general Korean ner datasets.
Outcome: The KBMC dataset shows an impressive 20% increase in medical NER performance compared to models trained on general Korean NER datasets.
Adjusting Image Attributes of Localized Regions with Low-level Dialogue (2020.lrec-1)

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Challenge: Image editing is time-consuming and requires a wide assortment of features and combinations of these features to achieve a desired effect.
Approach: They propose a task-oriented dialogue system to investigate low-level instructions for NLIE . 25% of users found the system easy-to-use, resonating with their motivation .
Outcome: The proposed system is easy-to-use and user-friendly.

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