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Could you please explain more in detail.
AS far as I understood. First we need train encoder with domain data (within given categories). Later using this to create a cluster word by word level?
Hi @akar5h, @lalitpagaria,
As discussed previously the goal here is to have more advanced document embeddings filterable by facets giving multiple views for a query document, this can be achieved by reproducing the following work:
Paper: https://hpi.de/naumann/projects/web-science/deep-learning-for-text/multifaceted-embeddings.html
Code for the paper: https://github.com/philipphager/faceted-domain-encoder
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