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A comment on Why do we use word embeddings in NLP?. Parent comment

Re:Why do we use word embeddings in NLP? by Der_Einzige on Tuesday September 10, 2019 @12:22PM (#20929895)
Wait... That's what dimensionality reduction is for. I can interpret 3 PCA dimensions pretty damn well since I can figure out the covariance explained by each dimension of my original dimensions
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Re:Why do we use word embeddings in NLP? by bitL on Tuesday September 10, 2019 @02:58PM (#20931976)
Yeah, but your accuracy also drops. You might end up with interpretable underwhelming solution instead of non-interpretable SOTA.
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