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Found 2 papers, 1 papers with code
Controlled Experiments for Word Embeddings
The experiments reveal that word vector length depends more or less linearly on both word frequency and the level of noise in the co-occurrence distribution of the word.
Measuring Word Significance using Distributed Representations of Words
Distributed representations of words as real-valued vectors in a relatively low-dimensional space aim at extracting syntactic and semantic features from large text corpora.
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