ML_Decoder
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some questions of word2vec extraction
I want to know which word2vec model you use in the NUS_WIDE ZSL classification setting. I try to extract word representation by myself, and I use 'glove-wiki-gigaword-300.model' model. But I meet some problems. Some words like 'interestingness' are not in the model, how do you deal with the problem and how do you extract the word embedding?
Can you please share your word embeddings for MSCOCO?