PyABSA
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Minor error of aspect term extraction
Hi Author,
I used fast_lcfs_atepc model to train my own dataset about "Immigration", the result is pretty good:
- Aspect sentiment classification accuracy: 80.54%
- Aspect sentiment classification F1: 80.76%
- Aspect term extraction F1: 97.84%
However, I noticed minor errors. Original sentence:"and gov keeps importing more wp and ep , and they stay like 5 person in 1 room to survive and depress everyone else ' s wages" Results from model inference and inference JSON file not match, position should be [6] and [8], and "keeps" is an entire word.

Hi, Thanks for your report. Would you share your dataset for debugging?