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tetis-geochallenge
rdecoupes/tetis-geochallenge
tetis-geochallenge is a token classification model from rdecoupes. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as gpl-3.0.
[](https://www.umr-tetis.fr/index.php/fr/)
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Model card
From the Hugging Face model README
TETIS Text Mining contribution to the GeoChallenge: Location Mention Recognition
This model was trained for the GeoAI Challenge organized by AIforGood and won the 2nd prize.
It takes as an input a tweet content and extracts location mentions (Name Entity Recognition task focused on spatial entity).
More information could be found in the GeoAI github repository
Authors
| Name | Github |
|---|---|
| Rémy Decoupes | @remydecoupes |
| Nejat Arinik | @arinik9 |
| Roberto Interdonato | @interdonatos |
- Task
- Token Classification
- Library
- transformers
- Type
- roberta
- License
- gpl-3.0
- Created
- Dec 11, 2022
- Updated
- Sep 11, 2023