Fig. 3

Comparison of BOW and BERT word vectors as the machine learning representation. The two-fold relevancy prediction performance is reported in terms of WSS@95% across the DERP collections, sorted by BOW performance. In each group, the different colored bars correspond to BOW, BOW including PICO features, BERT, and BERT including PICO features. Bar heights are the average across 100 Monte Carlo trials. In the WSS@95% plot, the upper error bars indicate the standard deviation across the 100 Monte Carlo trials