JudeLee19/korean_ner_tagging_challenge
KU_NERDY 이동엽, 임희석 (2017 국어 정보 처리 시스템경진대회 금상) - 한글 및 한국어 정보처리 학술대회
This system helps identify and categorize specific entities like names, locations, and organizations within Korean text. You input a Korean sentence or document, and it outputs the same text with recognized entities clearly marked. This is ideal for anyone working with large volumes of Korean language content, such as linguists, researchers, or data analysts.
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Use this if you need to automatically extract and label specific types of information from Korean text accurately and efficiently.
Not ideal if your primary need is for entity recognition in languages other than Korean, or if you require deep semantic understanding beyond entity identification.
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C
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Last pushed
Jan 02, 2019
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