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Found 2 papers, 1 papers with code
Mimicking Word Embeddings using Subword RNNs
In this paper, we present MIMICK, an approach to generating OOV word embeddings compositionally, by learning a function from spellings to distributional embeddings.
Morphological Priors for Probabilistic Neural Word Embeddings
Word embeddings allow natural language processing systems to share statistical information across related words.
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