impresso-project
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ner-stacked-bert-multilingual

Token Classification

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emanuelaboros commited on 22 days ago

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@@ -16,7 +16,7 @@ The **Impresso NER model** is a multilingual named entity recognition model trai
 ### Model Description
-- **Developed by:** [Impresso team](https://impresso-project.ch), an interdisciplinary project focused on historical media analysis across languages, time, and modalities. Funded by the Swiss National Science Foundation ([CRSII5_173719](http://p3.snf.ch/project-173719), [CRSII5_213585](https://data.snf.ch/grants/grant/213585)) and the Luxembourg National Research Fund (grant No. 17498891).
 - **Model type:** Stacked BERT-based token classification for named entity recognition
 - **Languages:** French, German, English (with support for multilingual historical texts)
 - **License:** [AGPL v3+](https://github.com/impresso/impresso-pyindexation/blob/master/LICENSE)

 ### Model Description
+- **Developed by:** EPFL from the [Impresso team](https://impresso-project.ch). The project is an interdisciplinary project focused on historical media analysis across languages, time, and modalities. Funded by the Swiss National Science Foundation ([CRSII5_173719](http://p3.snf.ch/project-173719), [CRSII5_213585](https://data.snf.ch/grants/grant/213585)) and the Luxembourg National Research Fund (grant No. 17498891).
 - **Model type:** Stacked BERT-based token classification for named entity recognition
 - **Languages:** French, German, English (with support for multilingual historical texts)
 - **License:** [AGPL v3+](https://github.com/impresso/impresso-pyindexation/blob/master/LICENSE)