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license: mit
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---
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license: mit
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language:
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- multilingual
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- cs
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- pl
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- sl
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- fi
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tags:
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- labse
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- ner
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---
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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:
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1. Wikiann (LOC, PER, ORG)
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2. SlavNER 19/21 (EVT, LOC, ORG, PER, PRO)
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3. SlavNER 17 (LOC, MISC, ORG, PER)
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4. SSJ500k (LOC, MISC, ORG, PER)
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5. KPWr (EVT, LOC, ORG, PER, PRO)
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6. CNEC (LOC, ORG, MEDIA, ART, PER, TIME)
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7. Turku (DATE, EVT, LOC, ORG, PER, PRO, TIME)
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PER: person, LOC: location, ORG: organization, EVT: event, PRO: product, MISC: Miscellaneous, MEDIA: media, ART: Artifact, TIME: time, DATE: date
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You can select the tagset to use in the output by configuring the model. This model manages differently uppercase words.
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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).
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