| ############################################## | |
| step: final | |
| Table for all datasets except crossNER | |
| ACE 2004 : 26.0% 36.9% | |
| ACE 2005 : 23.6% 37.0% | |
| AnatEM : 30.6% 35.8% | |
| Broad Tweet Corpus : 60.2% 65.0% | |
| CoNLL 2003 : 63.6% 68.5% | |
| FabNER : 24.0% 34.5% | |
| FindVehicle : 44.1% 44.6% | |
| GENIA_NER : 53.6% 58.9% | |
| HarveyNER : 24.9% 22.6% | |
| MultiNERD : 63.9% 71.0% | |
| Ontonotes : 31.6% 45.6% | |
| PolyglotNER : 42.8% 50.3% | |
| TweetNER7 : 40.1% 51.6% | |
| WikiANN en : 58.1% 67.8% | |
| WikiNeural : 72.3% 77.1% | |
| bc2gm : 52.3% 59.0% | |
| bc4chemd : 51.4% 56.2% | |
| bc5cdr : 69.4% 73.5% | |
| ncbi : 61.1% 70.2% | |
| Average : 47.0% 54.0% | |
| Table for zero-shot benchmark | |
| CrossNER_AI : 60.1% 64.7% | |
| CrossNER_literature : 64.9% 72.5% | |
| CrossNER_music : 69.9% 72.9% | |
| CrossNER_politics : 72.7% 79.5% | |
| CrossNER_science : 66.4% 72.0% | |
| mit-movie : 55.1% 63.4% | |
| mit-restaurant : 44.6% 57.0% | |
| Average : 62.0% 68.9% | |
| ############################################## | |