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Minor error of aspect term extraction

Open DorisFangWork opened this issue 3 years ago • 1 comments

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.

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DorisFangWork avatar Aug 04 '22 12:08 DorisFangWork

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

yangheng95 avatar Aug 04 '22 13:08 yangheng95