Describe how sentence vectors are generated #309
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Upon looking at the codebase a bit more, it seems like vectors are currently generated via simple averaging of word vectors? |
@matthias-samwald have you tried using sentence embeddings generated by |
@spate141 No I have not done anything like that yet, but I probably will in the future (based on biomedical text). |
Hello @matthias-samwald, Please see the following issue #323 which details a discussion on how we calculate sentence embeddings. It appears that you have already figured this out yourself, I just want to make sure this is referenced here. Indeed it could be on fastText's roadmap to also implement some of Sent2Vec's features, if deemed relevant, so stay tuned. I'm closing this issue now, but please feel encouraged to reopen it at any point if you don't consider this resolved. Thanks, |
It would be great to have a better understanding of how the sentence vectors are generated. Superficially, there are similarities to Sent2Vec (https://github.com/epfml/sent2vec / paper) -- is that algorithm being used?
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