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bert-for-inference reviews and mentions
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Ask HN: What problem are you close to solving and how can we help?
Super vague answer:
Put the questions in some semantic embedding space. Now you’ll have a vector representing each question. Then for each question, you can sort all the questions by how far the Euclidean distance is between their vectors. Or use some clustering algorithm like k means to find clusters.
By Googling I found this to tutorial to put sentences in an embedding space: https://github.com/BramVanroy/bert-for-inference/blob/master...
I did not read this and am not endorsing it, but it looks like it’s doing the right thing.
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The primary programming language of bert-for-inference is Jupyter Notebook.
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