Error running Pipeline with BasicReferenceRecognizer about aspect-based-sentiment-analysis HOT 2 OPEN

Update: I believe that this issue is due to the following: if the BasicReferenceRecognizer does not detect an aspect, the professor component sets scores = [0,0,0], which is a list of integers. When scores is then normalised by dividing by its norm, the error is raised because you are dividing an int when you really want to divide a float (of course, there may also be a ZeroDivisionError lurking here!)

Suggestion:

• In this line, redefine scores = [0.0, 0.0, 0.0].
• For extra caution, in this line define scores = np.max([e.scores for e in examples], axis=0).astype(float).

I tried to open a PR to fix these suggestions myself, but unfortunately I don't have permission to push to this repository. I hope that these suggestions help with resolving this issue!

from aspect-based-sentiment-analysis.

Thank you for the suggestion! Fixed my problem @xesaad

from aspect-based-sentiment-analysis.