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View Code? Open in Web Editor NEWRepo for EMNLP 2020 paper, "Improving Neural Topic Models using Knowledge Distillation"
Home Page: https://www.aclweb.org/anthology/2020.emnlp-main.137/
Repo for EMNLP 2020 paper, "Improving Neural Topic Models using Knowledge Distillation"
Home Page: https://www.aclweb.org/anthology/2020.emnlp-main.137/
Hi, thank you for this awesome work!
I would like to use KDTM to generate topics and document-topic distribution on a corpus containing 4.4M tweets (each tweet can be considered a document). Can you let me know how I can obtain the document-topic distribution? The closest method I can find to this is save_document_representations(), but I am not sure if it's the same thing.
Also, my dataset does not have any labels, so I wanted to know if labels are a part of the training process or if they are optional.
Thanks in advance!
Hi,
Thanks for releasing your code in this repository! It would be exciting to try the neural topic models with Knowledge Distillation.
I was wondering whether you would like to give a simple example as a guidance, perhaps as a jupyter notebook, so that I can know which file I should run first.
Best wishes
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