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A Pytorch implementation of "Knowledge-Enhanced Ensemble Learning for Word Embeddings" (WWW 2019)

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Hi guys, Nice work! Could you add some instructions on how to run the code, if possible with a section for how to do so on custom datasets and KGs?

Thanks for the interesting work and sharing your code. Could you also share your data of word embeddings you used and cleaned knowledge graph data?