| | --- |
| | license: mit |
| | language: |
| | - multilingual |
| | - ru |
| | - bg |
| | - mk |
| | - uk |
| | - fi |
| | tags: |
| | - labse |
| | - ner |
| | --- |
| | |
| | This is a multilingual NER system trained using a Frustratingly Easy Domain Adaptation architecture. It is based on LaBSE and supports different tagsets all using IOBES formats: |
| | 1. Wikiann (LOC, PER, ORG) |
| | 2. SlavNER 19/21 (EVT, LOC, ORG, PER, PRO) |
| | 3. SlavNER 17 (LOC, MISC, ORG, PER) |
| | 4. CNE5 (GEOPOLIT, LOC, MEDIA, PER, ORG) |
| | 5. FactRuEval (LOC, ORG, PER) |
| | 6. NER-UK (LOC, MISC, ORG, PER) |
| | 7. Turku (DATE, EVT, LOC, ORG, PER, PRO, TIME) |
| |
|
| | PER: person, LOC: location, ORG: organization, EVT: event, PRO: product, MISC: Miscellaneous, MEDIA: media, ART: Artifact, TIME: time, DATE: date, GEOPOLIT: Geopolitical, |
| |
|
| | You can select the tagset to use in the output by configuring the model. This models manages differently uppercase words. |
| |
|
| | More information about the model can be found in the paper (https://aclanthology.org/2021.bsnlp-1.12.pdf) and GitHub repository (https://github.com/EMBEDDIA/NER_FEDA). |
