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Hi, I have read your paper, it's a brilliant job and I appreciate the script and models you open-sourced. I'd like to know more about how you generated the document embedding when using other models like clinical-BERT, did you regard a whole note as a "sentence" and cut the word that exceeds the maximum token number? Thank you.
The text was updated successfully, but these errors were encountered:
Hi, I have read your paper, it's a brilliant job and I appreciate the script and models you open-sourced. I'd like to know more about how you generated the document embedding when using other models like clinical-BERT, did you regard a whole note as a "sentence" and cut the word that exceeds the maximum token number? Thank you.
The text was updated successfully, but these errors were encountered: