Closing the Gap: Joint De-Identification and Concept Extraction in the Clinical Domain
Table 2: F1 results for de-identification. ∗ highlights our models with statistically significant differences compared to Pipeline (ANON only).
['Models', 'English', 'Spanish']
The performance difference to our prior work Lange et al. However, we found no statistically significant differences to that model. The de-identification performance of Stacked is comparable to the Pipeline model, the de-identification performance of Multitask is slightly lower, however, we only found statistically significant differences for the Multitask model for English.