Papers with Vector of Locally-Aggregated Descriptors

1 papers
Vector of Locally-Aggregated Word Embeddings (VLAWE): A Novel Document-level Representation (N19-1)

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Challenge: a novel word embedding representation for text documents is proposed . the method is based on the Vector of Locally-Aggregated Descriptors used for image representation .
Approach: They propose a novel representation for text documents based on aggregating word embedding vectors into document embeddables.
Outcome: The proposed representation improves on the Movie Review data set and is 10% better than the state-of-the-art representation.

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