Comments (1)
I've done only initial testing in German, which I don't speak, so I can't characterize how well it works. That said, I just tried a short sentence from a Der Spiegel article on our homepage and found that it pulled out a place and person pretty well - results below. You are correct that the one-word request for Krems doesn't work. I expect that is because the models are built to process sentences, but I'm not sure 🤷🏽♂️.
Input (from this article)
"Alesja* sieht noch, wie Beamte einer Omon-Sondereinheit mit Schlagstöcken auf ihren Mann einprügeln. Iwan* liegt mit anderen auf der Straße an einer Brücke in Minsk, hält die Hände über den Kopf verschränkt. "
Results
{
"milliseconds": 5,
"language": "DE",
"version": "2.6.1",
"results": {
"places": {
"mentions": [
{
"featureCode": "PPLC",
"featureClass": "P",
"confidence": 1,
"lon": 27.56667,
"countryGeoNameId": "630336",
"source": {
"charIndex": 159,
"string": "Minsk"
},
"population": 1742124,
"stateGeoNameId": "625143",
"countryCode": "BY",
"name": "Minsk",
"stateCode": "04",
"id": 625144,
"lat": 53.9
}
],
"focus": {
"cities": [
{
"score": 1,
"featureCode": "PPLC",
"stateGeoNameId": "625143",
"featureClass": "P",
"countryCode": "BY",
"name": "Minsk",
"lon": 27.56667,
"countryGeoNameId": "630336",
"stateCode": "04",
"id": 625144,
"lat": 53.9,
"population": 1742124
}
],
"countries": [
{
"score": 1,
"featureCode": "PCLI",
"stateGeoNameId": "",
"featureClass": "A",
"countryCode": "BY",
"name": "Republic of Belarus",
"lon": 28,
"countryGeoNameId": "630336",
"stateCode": "00",
"id": 630336,
"lat": 53,
"population": 9685000
}
],
"states": [
{
"score": 1,
"featureCode": "ADM1",
"stateGeoNameId": "625143",
"featureClass": "A",
"countryCode": "BY",
"name": "Horad Minsk",
"lon": 27.56667,
"countryGeoNameId": "630336",
"stateCode": "04",
"id": 625143,
"lat": 53.9,
"population": 2002600
}
]
}
},
"organizations": [],
"people": [
{
"name": "Iwan",
"count": 1
}
]
},
"status": "ok"
}
from cliff-annotator.
Related Issues (20)
- return better status while index is building HOT 1
- charIndex of mentions is offset by preceding demonyms when replaceAllDemonyms=true HOT 2
- `results.mentions.source.string` contains the normalised country name, intead of the raw string matched. HOT 2
- integrate co-ref resolution into person entity counts HOT 1
- DELETE IT
- upgrade default Stanford NER to v3.9.2 HOT 9
- News Articles about Washington, always resolve to Washington state instead of Washington, DC. HOT 1
- support language at the query level HOT 1
- move configuration to env-vars HOT 1
- rename packages to match brand HOT 1
- Are there any API docs which go over what the meaning of each key in the json response means? HOT 5
- Can't get CLIFF to run HOT 2
- Unable to access through tomcat (404 error) HOT 1
- Gazetteer index Error HOT 3
- Live demo currently down HOT 2
- upgrade to latest NER HOT 1
- upgrade to latest CLIFF
- Add support for French HOT 1
- What is the maximum sequence length? HOT 3
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from cliff-annotator.