On Learning Better Embeddings from Chinese Clinical Records: Study on Combining In-Domain and Out-Domain Data

WS 2018 Yaqiang WangYunhui ChenHongping ShuYongguang Jiang

High quality word embeddings are of great significance to advance applications of biomedical natural language processing. In recent years, a surge of interest on how to learn good embeddings and evaluate embedding quality based on English medical text has become increasing evident, however a limited number of studies based on Chinese medical text, particularly Chinese clinical records, were performed... (read more)

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