Papers by Ji-Min Lee

1 papers
Learning to Generate Word Representations using Subword Information (C18-1)

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Challenge: Existing word-based approaches to learning word representations are blind to subword information in words.
Approach: They propose a character-based word representation approach to learn word representations from characters.
Outcome: The proposed model outperforms baseline models that regard words as atomic units . the proposed model achieves 18.5% improvement on average in perplexity for morphologically rich languages .

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