March 26, 2024, 4:51 a.m. | Sungjoo Byun, Jiseung Hong, Sumin Park, Dongjun Jang, Jean Seo, Minseok Kim, Chaeyoung Oh, Hyopil Shin

cs.CL updates on arXiv.org arxiv.org

arXiv:2403.16158v1 Announce Type: new
Abstract: Named Entity Recognition (NER) plays a pivotal role in medical Natural Language Processing (NLP). Yet, there has not been an open-source medical NER dataset specifically for the Korean language. To address this, we utilized ChatGPT to assist in constructing the KBMC (Korean Bio-Medical Corpus), which we are now presenting to the public. With the KBMC dataset, we noticed an impressive 20% increase in medical NER performance compared to models trained on general Korean NER datasets. …

abstract arxiv bio chatgpt cs.cl dataset language language processing medical natural natural language natural language processing ner nlp pivotal processing recognition role type

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