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bert-base-uncased-ud-NER
shrdlu9/bert-base-uncased-ud-NER
bert-base-uncased-ud-NER is a machine learning model from shrdlu9. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
This model consists of a bert-base-uncased model fine-tuned for Named Entity Recognition (NER) with 18 NE tags on the Universal Dependencies English dataset. \ https://universaldependencies.org/en/index.html \ The rec…
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At a glance
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Oct 30, 2022
- Updated
- Oct 30, 2022
- SHA
- 41151181
Model card
From the Hugging Face model README
Overview
This model consists of a bert-base-uncased model fine-tuned for Named Entity Recognition (NER) with 18 NE tags on the Universal Dependencies English dataset.
https://universaldependencies.org/en/index.html
The recognized NE tags are:
| CARDINAL | cardinal value |
|---|---|
| DATE | date value |
| EVENT | event name |
| FAC | building name |
| GPE | geo-political entity |
| LANGUAGE | language name |
| LAW | law name |
| LOC | location name |
| MONEY | money name |
| NORP | affiliation |
| ORDINAL | ordinal value |
| ORG | organization name |
| PERCENT | percent value |
| PERSON | person name |
| PRODUCT | product name |
| QUANTITY | quantity value |
| TIME | time value |
| WORK_OF_ART | name of work of art |
A fine-tuned bert-base-cased model is also available.
- Library
- transformers
- Type
- bert
- Languages
- en
- Created
- Oct 30, 2022
- Updated
- Oct 30, 2022