KeyBERT
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Minimal keyword extraction with BERT
Can embeddings used to calculate the keyword to document distance be exposed as part of KeyBERT API?
Fix MMR
ValueError: attempt to get argmax of an empty sequence in numpy argmax it happens in short sentences and relatively bigger n_gram range
First, thanks for your great effort in this repo. I highly appreciate it. Regarding this PR: **Problem:** BERT models have restrictions on their input, the number of words that each...
Hey Maarten, thanks for this great work. I suggest that, 1. instead of one function as `extract_keywords`, there could be two function for extracting embeddings and finding keywords. With this...
Hi, @MaartenGr @koaning @artmatsak @kunihik0 Is there a way to fine-tune keybert with custom labelled data to generate meaningful keywords? Please refer me a way to fine-tune keyword extraction on...
I'm trying to extract keywords and keyphrases from around 20k abstracts of journal articles. The FAQ mentions that it is recommended to use GPU with KeyBERT. However, I'm unclear how...
Hey I was trying to use keybert with flair backend but the demo guide throws the below error: ``` Traceback (most recent call last): File "/home/robert/bunker/grafted-backend/grafted-nlp/ner/keybert_model.py", line 12, in kw_model...
I want to know that what is maximum length of sentence that we can input into keybert? (Because i has a very long sentence that need to extract keyword, it's...
I'm a chinese,When I use KeyBERT with my Mac m1 book,I can't install KeyBERT,could you place give me some advices.
to support subword models and tokenization https://huggingface.co/docs/transformers/main_classes/tokenizer for reference