Poster – Paper 504

Investigating Stroke-Level Information for Learning Chinese Word Embeddings

Shaosheng Cao, Wei Lu, Jun Zhou and Xiaolong Li


clock_event October 23, 2017, Poster and Demo Reception, 18:30-21:20
house Festsaal 1
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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.