Chinese word sense disambiguation by combining pseudo training data

@article{Wang2003ChineseWS,
  title={Chinese word sense disambiguation by combining pseudo training data},
  author={Xiaojie Wang and Yasuaki Matsumoto},
  journal={International Conference on Natural Language Processing and Knowledge Engineering, 2003. Proceedings. 2003},
  year={2003},
  pages={138-143}
}
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 based on a linguistic phenomenon in Chinese, which some multicharacter-words inherit only one sense and some syntactical features from… CONTINUE READING

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