LIME for text: does it work for bigram instead unigram
Hi,I am trying to explain predictions from a  fine-tuned bert model for a binary text classification problem using LIME.LIME allows us to extract the top n features or words most relevant in the sentence. I was wondering if we can change the LIME explainer in some way to obtain both bi-gram and uni-gram features/words?And other than LIME and SHAP, are there any similar explainers available to understand the predictions of a BERT model better?Thank you so much!!!
2024-07-16T10:37:46Z
Hi  do you get any resource for this?