Yanan Lu


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Multi-prototype Chinese Character Embedding
Yanan Lu | Yue Zhang | Donghong Ji
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)

Chinese sentences are written as sequences of characters, which are elementary units of syntax and semantics. Characters are highly polysemous in forming words. We present a position-sensitive skip-gram model to learn multi-prototype Chinese character embeddings, and explore the usefulness of such character embeddings to Chinese NLP tasks. Evaluation on character similarity shows that multi-prototype embeddings are significantly better than a single-prototype baseline. In addition, used as features in the Chinese NER task, the embeddings result in a 1.74% F-score improvement over a state-of-the-art baseline.


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Syntactic Dependencies and Distributed Word Representations for Analogy Detection and Mining
Likun Qiu | Yue Zhang | Yanan Lu
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing