Questions tagged [sparse-word-embedding]

Sparse word embedding are specific type of word embedding which represent meaning of word as a vector which is sparse, containing significant number of zeros. tf-idf model, PPMI model etc., are examples of sparse word embedding models

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How do sparse word embeddings fail to capture synonymy?

While reading some explanations of why dense word embeddings work better than sparse word embeddings, the following statement has been given in the chapter Vector Semantics and Embeddings, showing a ...