Paper

KeyVec: Key-semantics Preserving Document Representations

Previous studies have demonstrated the empirical success of word embeddings in various applications. In this paper, we investigate the problem of learning distributed representations for text documents which many machine learning algorithms take as input for a number of NLP tasks... (read more)

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