Evaluation results of the xMEN entity linking toolkit for multiple benchmark datasets

This dataset contains the benchmark results of the xMEN toolkit for cross-lingual medical entity linking on the following, publicly available benchmark datasets: Mantra Gold Standard Corpus (multilingual) Quaero (French) BRONCO150 (German) DisTEMIST (Spanish) MedMentions (English + machine-translated multilingual versions) For each dataset, we evaluate the default xMEN pipeline with different steps of candidate generation and weakly-supervised and fully-supervised re-ranking on the test sets or 5-fold-cross-validation (for BRONCO150).Users of xMEN can use these data to compare their own results to the current state-of-the-art performance on these benchmarks, when loaded through the BigBIO library., Evaluation of xMEN on datasets loaded from BigBIO dataloaders., , # xMEN Benchmark Results [https://doi.org/10.5061/dryad.15dv41p6h](https://doi.org/10.5061/dryad.15dv41p6h) ## Description of the data and file structure Evaluation of xMEN candidate generation + re-ranking (weakly and fully supervised) on various benchmark datasets. ### Files and variables Each file refers to a subset of a particular benchmark dataset. For each subset, we run candidate generation + weakly-supervised ([filename]_ws.csv) or fully-supervised ([filename]_fs.csv)Â | Benchmark | Subset | file\_name | | :---------- | :---------- | :------------------ | | Mantra | German | mantra\_de | | | English | mantra\_en | | | Spanish | mantra\_es | | | French | mantra\_fr | | | Dutch | mantra\_nl | | Quaero | - | quaero | | BRONCO | Diagnoses | bronco\_diagnoses | | | Medications | bronco\_medica...