Word-Context Character Embeddings for Chinese Word Segmentation.
EMNLP(2017)
摘要
Neural parsers have benefited from automatically labeled data via dependency-context word embeddings. We investigate training character embeddings on a word-based context in a similar way, showing that the simple method improves state-of-the-art neural word segmentation models significantly, beating tri-training baselines for leveraging auto-segmented data.
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关键词
chinese word-context segmentation,character
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