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Deep Keyphrase Extraction using BERT

Results 12 BERT-Keyword-Extractor issues
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Can the model be used to extract keyword from a paragraph, that consists of several sentences? Thank you.

![image](https://user-images.githubusercontent.com/80305001/122665233-3eaf2300-d1d0-11eb-9d99-a425d9725be8.png)

RuntimeError: index out of range at /pytorch/aten/src/TH/generic/THTensorEvenMoreMath.cpp:191

i m really insipired by #6 but i m wondering even absent multiple keywords from paragraph?

Hello Sir, can we use it for topic detection from a set of documents?

Do you have a pre-trained model that we can use for a downstream system? It would be awesome if you can provide us with that!

Can I use the fine-tuned model to extract keywords from any .txt file if I don't have the keys?

The convert Function that converts the phrases into B,H I tokens is **not valid** for **repeated words** in a keyphrase. As the function is made they will take the **first...

Fixes UnicodeDecodeError: 'charmap' codec can't decode byte 0x90 in position 5445: character maps to

Fixes RuntimeError: Expected tensor for argument #1 'indices' to have scalar type Long; but got torch.* instead (while checking arguments for embedding)