Papers by Juhee Son

3 papers
HUE: Pretrained Model and Dataset for Understanding Hanja Documents of Ancient Korea (2022.findings-naacl)

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Challenge: Historical records in Korea before the 20th century were primarily written in Hanja, an extinct language based on Chinese characters.
Approach: They present a dataset that includes tasks for attribution, topic classification, named entity recognition and summary retrieval for classical Hanja documents.
Outcome: The proposed models improve on the Annals of the Joseon Dynasty and Diaries of the Royal Secretariats datasets.
Two-Step Question Retrieval for Open-Domain QA (2022.findings-acl)

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Challenge: Existing question retrieval models have shown a significant increase in inference speed but at the cost of lower QA performance compared to the retriever-reader pipeline.
Approach: They propose a two-step question retrieval model with distant supervision to improve inference speed.
Outcome: The proposed model significantly increases the performance of existing question retrieval models with a negligible loss on inference speed.
Translating Hanja Historical Documents to Contemporary Korean and English (2022.findings-emnlp)

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Challenge: The Annals of Joseon Dynasty contain the daily records of the Kings of Joseont, the 500-year kingdom preceding the modern nation of Korea.
Approach: They propose a neural machine translation model that translates historical documents written in Hanja to more easily understandable Korean and to English.
Outcome: The proposed model outperforms baseline models in terms of BLEU scores for both contemporary Korean and English translations.

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