I’m trying out an NLP competition on kaggle, and can’t figure out what next steps to try. The goal is to extract support phrases for sentiment. I tried hacking the text_classifier_learner to do multi-labeling for the output, but I couldn’t get it working and am starting to think there has to be a better way.
Input: I am having a good, fun time at home.
Output: good, fun
Does anyone have recommendations on notebooks/posts/examples on how to do this task with fastai? I’m trying to figure out how deep into the fastai API I need to dig for this, and where to dig.
The competition is here.
- Noticed there was a text interpretation with intrinsic attention in fastai 1v3
Would any veterans know if it which is more worthwhile: porting 1v3 over, or try to use hugging faces for the task? I saw some folks are already experimenting with hugging faces with fastai2 (1v4).