Chinese word sense disambiguation by combining pseudo training data

Abstract

In supervised methods of word sense disambiguation, sense tagged samples for training classifiers are needed. Since sense tagging for ambiguous words is expensive and labor intensive, it is worth looking for some reasonable substitutes. We suggest a kind of substitute for Chinese sense tagged data, which is called pseudo training data. The suggestion is… (More)

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@article{Wang2003ChineseWS, title={Chinese word sense disambiguation by combining pseudo training data}, author={Xiaojie Wang and Yoshiharu Matsumoto}, journal={International Conference on Natural Language Processing and Knowledge Engineering, 2003. Proceedings. 2003}, year={2003}, pages={138-143} }