| French NER model for tweets. Fine-tuned on the CAP2017 dataset. | |
| label_list = ['O', | |
| 'B-person', | |
| 'I-person', | |
| 'B-musicartist', | |
| 'I-musicartist', | |
| 'B-org', | |
| 'I-org', | |
| 'B-geoloc', | |
| 'I-geoloc', | |
| 'B-product', | |
| 'I-product', | |
| 'B-transportLine', | |
| 'I-transportLine', | |
| 'B-media', | |
| 'I-media', | |
| 'B-sportsteam', | |
| 'I-sportsteam', | |
| 'B-event', | |
| 'I-event', | |
| 'B-tvshow', | |
| 'I-tvshow', | |
| 'B-movie', | |
| 'I-movie', | |
| 'B-facility', | |
| 'I-facility', | |
| 'B-other', | |
| 'I-other'] |