Hey Matthew. Is the Bloom embeddings technique mentioned here somehow inspired from our work https://arxiv.org/abs/1706.03993 ? I couldn't find any reference, but would be extremely glad to know that your great project uses that (cc @alexk_z)
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I think the idea has been developed independently a few times -- iirc I thought of it in 2016. I commited it to thinc here: https://github.com/explosion/thinc/commit/8ec7e564c97dc2cd97c9490a6e8e0a8f5e8dbd50 … The earliest mention of the idea i've found is an offhand comment by
@RadimRehurek that the hashing trick should work for w2v - Još 2 druga odgovora
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Very useful talk. Do you have the slides somewhere?
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Ah, forgot to add this to the description. Thanks! https://github.com/explosion/talks/blob/master/2017-11-02___Practical-and-Effective-Neural-NER.pdf …
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Hope v2.0 speed issues get fixed real soon
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What words per second are you seeing? The biggest problem atm is it's hard to make sure your system's BLAS library is well tuned. When everything's working right you should be getting around 8k wps with a single thread on the next release.
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Are there any plans to support co-reference resolution as well? Would be great :)
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Not at this point – but we recommend neuralcoref, which is based on spaCy! There might also be pipeline components and extension attributes soon, for deeper integration with spaCy's Doc objects
https://twitter.com/julien_c/status/977189681283633153 …
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Thanks for all you do, Matthew!
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Thanks for the video! Really helped my understanding.
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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