Low-supervision urgency detection and transfer in short crisis messages
TABLE VII: Results investigating RQ2 using the Nepal dataset as source and Kerala dataset as target.
['System', 'Accuracy', 'Precision', 'Recall', 'F-Measure']
uncertain in low-supervision settings. Concerning transfer learning experiments (RQ2), we note that source domain embedding model can improve the performance for target model, and upsampling has a generally positive effect (Tables V-VIII). As expected, transfer learning [CONTINUE] 0The best F-Measure achieved on Nepal in Table IV was more than 69%, but when using Kerala as source, only 62.5% F-Measure could be achieved (Table VIII).