Please advice a state of the art multilanguage named entity recognition library
No.13887238 ViewReplyOriginalReport
Quoted By: >>13887247 >>13887253
Should reliably recognize and distinguish:
1. names
2. surnames
2.1 middle names
2.2 titles (Mr., Mrs., Dr.)
3. jobs (developer, manager, welder, fitter, driver, assistant professor, engineer, president)
4. orgs
4.1 company names (Microsoft, Apple)
4.2 govt orgs (NASA, NSA)
4.3 NGOs (EFF, FSF)
5. streets, avenues etc
6. blocks
7. cities
8. countries
9. ages (15 years old)
10. dates (11/24 2021, 24th of November 2021, 2021-11-24), years (300 BC)
11. times
12. seasons
13. holidays
14. animal names
1. names
2. surnames
2.1 middle names
2.2 titles (Mr., Mrs., Dr.)
3. jobs (developer, manager, welder, fitter, driver, assistant professor, engineer, president)
4. orgs
4.1 company names (Microsoft, Apple)
4.2 govt orgs (NASA, NSA)
4.3 NGOs (EFF, FSF)
5. streets, avenues etc
6. blocks
7. cities
8. countries
9. ages (15 years old)
10. dates (11/24 2021, 24th of November 2021, 2021-11-24), years (300 BC)
11. times
12. seasons
13. holidays
14. animal names
