Investigating Stroke-Level Information for Learning Chinese Word Embeddings

@inproceedings{Cao2017InvestigatingSI,
  title={Investigating Stroke-Level Information for Learning Chinese Word Embeddings},
  author={Shaosheng Cao and Wei Lu and Jun Zhou and Xiaolong Li},
  booktitle={International Semantic Web Conference},
  year={2017}
}
We propose a novel method for learning Chinese word embeddings. Different from previous approaches, we investigate the effectiveness of the Chinese stroke-level information when learning Chinese word embeddings. Empirically, our model consistently outperforms several state-of-the-art methods, including skipgram, cbow, GloVe and CWE, on the standard word similarity and word analogy tasks. 

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