Papers by Kyeongpil Kang
Restoring and Mining the Records of the Joseon Dynasty via Neural Language Modeling and Machine Translation (2021.naacl-main)
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| Challenge: | voluminous historical records are difficult to fully utilize since they are written in ancient languages and some parts are damaged over time. |
| Approach: | They propose a multi-task learning approach to restore and translate historical documents using a self-attention mechanism. |
| Outcome: | The proposed approach improves the accuracy of the translation task over baselines without multi-task learning. |
Leveraging External Knowledge for Historical Document Restoration via Retrieval-Augmented Large Language Models (2026.findings-acl)
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| Challenge: | Historical documents suffer from illegibility due to physical deterioration and damage due to deteriorating materials. |
| Approach: | a new framework leverages large language models with retrieval-augmented generation to restore historical documents. authors propose a framework that leverages implicit knowledge of pre-trained LLMs with explicitly retrieved external context. |
| Outcome: | a new framework outperforms existing methods for restoration of historical documents in Korean . the proposed model can restore both general characters and named entities, the authors say . |