Papers with meta-embedding learning problem

1 papers
Learning Word Meta-Embeddings by Autoencoding (C18-1)

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Challenge: Existing word embeddings have shown superior performance in numerous Natural Language Processing (NLP) tasks, however, their performances vary significantly across different tasks.
Approach: They propose to combine distributed word embeddings to produce more accurate and complete meta-embeddings of words.
Outcome: The proposed meta-embeddings outperform the state-of-the-art in multiple tasks.

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