Semi-supervised Chinese word sense disambiguation based on E-HowNet

碩士 === 國立交通大學 === 電機工程學系 === 106 === This thesis proposed a semi-supervised Chinese word sense disambiguation based on E-HowNet, training word vector into sense vector. Because the lack of Chinese word sense-tagged corpus, we labeled corpus with sense by synonyms we sorted from E-HowNet. We used con...

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Bibliographic Details
Main Authors: Lin, Chin-Kui, 林晉逵
Other Authors: Chen, Sin-Horng
Format: Others
Language:zh-TW
Published: 2017
Online Access:http://ndltd.ncl.edu.tw/handle/f28gw8