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View Code? Open in Web Editor NEWThe POLAR Framework: polar Opposites Enable Interpretability of Pre-Trained Word Embeddings
The POLAR Framework: polar Opposites Enable Interpretability of Pre-Trained Word Embeddings
Your paper is very good, but I encountered some problems when I reproduced it. For example, there is no antonym pair mentioned in the paper in this GitHub project, I can't find this pair of words (fix, science)in the file(Antonym_sets). I guess you forgot to upload the complete antonym file to GitHub. I hope you can help me answer my questions.
Hi,
ran your code and played a bit with the embeddings. I found there, as one can expect biases in there, like sexism amongst others.
I found kg embeddings numberbatch always a nice alternative to word2vec
http://blog.conceptnet.io/posts/2017/conceptnet-numberbatch-17-04-better-less-stereotyped-word-vectors/
most recent version
http://blog.conceptnet.io/posts/2019/conceptnet-numberbatch-19-08/
it should be possible to create polar embeddings for those, too, right?
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