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A Novel Semi-supervised Framework to Identify Military Documents: A Quantitative Analysis on Military Records in "Ming Shi-Lu"

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Work type: paper, specified "long paper"

You-Jun Chen, Hsin-Yi Hsieh, Richard Tzong-Han Tsai

Keywords: document classification military ming dynasty no labeled data weakly-supervised

Topics: 15th-17th century 5th-14th century asia english history humanities computing natural language processing text mining and analysis

Languages: English

Presented at ADHO - 2022 - Tokyo - Tokyo

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A Novel Semi-supervised Framework to Identify Military Documents: A Quantitative Analysis on Military Records in "Ming Shi-Lu"