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Published 20 hours ago • verified publisher icon naiveHobo
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Implementation of TextRank with the option of using pre-trained Word2Vec embeddings as the similarity metric

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Identical scores with and without word2vec embeddings

Interestingly, the scores are nearly identical, whether I use a word2vec embedding model or not. Could someone explain how this is possible? ![image](https://user-images.githubusercontent.com/2423660/89103466-6a87b580-d412-11ea-8e87-6407890383d1.png) (excuse the german :) )

cosmin-novac avatar cosmin-novac

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verified publisher icon naiveHobo

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Implementation of TextRank with the option of using pre-trained Word2Vec embeddings as the similarity metric

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