The Study of Chinese Jintishi Categorization

• Main Authors: Liu, Po-Jung, 劉博榮
• Other Authors: Liang, Tyne
• Format: Others
• Language: zh-TW
• Published: 2010
• Online Access: http://ndltd.ncl.edu.tw/handle/05157380417249333723

碩士 === 國立交通大學 === 資訊科學與工程研究所 === 99 === Chinese Jintishi is one important heritage in Chinese societies. Nevertheless, many poets use metaphors while composing their poems. So it becomes hard to understand Jintishi for high school students. In this thesis, an effective approach to automate Jintishi is presented with the aim to facilitate poem comprehension. We propose a method to tackle with semantic role labeling based on Tongyici Cilin and a SVM-based model to handle poem categorization. The categorization employs seven kinds of features mined from training corpus. Best set of features is selected by using forward sequential selection algorithm. The approach is justified in terms of 72.35% accuracy by categorizing 217 five-character quatrains into six types of Jintishi.