Papers with word and sub-word embedding model

1 papers
Additive Compositionality of Word Vectors (D19-55)

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Challenge: Existing research on justifying additive compositionality of word embedding models requires a rather strong assumption of uniform word distribution.
Approach: They propose to relax the assumption of uniform word distribution and propose more realistic conditions for proving additive compositionality.
Outcome: The proposed model improves on word similarity and noisy sentence similarity.

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