uSIF vs Averaging about spherical-text-embedding HOT 1 CLOSED

Hi,

Thanks for the question. Are you referring to the following functions in the evaluation code?

For baselines that produce document/sentence embeddings (like SIF and JoSE), we directly take their document/sentence embeddings as features for clustering/classification. The above functions (averaged word embedding) are used to produce sentence embeddings only for word embedding baselines (word2vec) that cannot naturally learn sentence representations. They are actually not used anywhere in the evaluation code (I should have deleted them to avoid confusion).

Please let me know if you have any further questions!

Best,
Yu

from spherical-text-embedding.