Fine-Grained Entity Typing in Hyperbolic Space
Table 6: Combined performance over the three granularities. Results are extracted from choi2018ultra.
['[BOLD] Model', '[BOLD] Dev  [BOLD] P', '[BOLD] Dev  [BOLD] R', '[BOLD] Dev  [BOLD] F1', '[BOLD] Test  [BOLD] P', '[BOLD] Test  [BOLD] R', '[BOLD] Test  [BOLD] F1']
To analyse precision and recall more accurately, we compare our model to the one of \newciteshimaoka2016attentive (AttNER) and the multi-task model of \newcitechoi2018ultra (multi). Our model is able to achieve higher recall but lower precision. Nonetheless we are able to outperform AttNER with a regression model even though they apply a classifier to the task.