Research papers on product / recommendation NER

[SwiftWinds]

Find and read research papers on named entity recognition of products (or named entity recognition of simply recommendations in general <- it would be amazing if you could find papers on this, but there might not be any such papers; it seems pretty hard to do) from online forums and discuss with team the methods used and which might be best to use (e.g., pros and cons of each one)

[Gopu2001]

              precision    recall  f1-score   support

         geo       0.82      0.86      0.84      1531
         gpe       0.83      0.89      0.86       652
         org       0.55      0.58      0.56       803
         per       0.71      0.75      0.73       728
         tim       0.81      0.78      0.79       849

   micro avg       0.75      0.78      0.77      4563
   macro avg       0.74      0.77      0.76      4563
weighted avg       0.75      0.78      0.77      4563

Time Elapsed: 5784.2341272830 seconds
Time Elapsed: 96.403902121384 minutes
Time Elapsed: 1.6067317020230 hours

Following a tutorial, CPU-only -- no GPU. CPU @ Max 1.80 GHz Results are using 10% of someone else's dataset, not as dirty as our dataset though (theirs is very clean). Download the dataset I tested with: https://www.kaggle.com/namanj27/ner-dataset