Commit
·
7c8c6ca
1
Parent(s):
d99613a
review readme
Browse files
README.md
CHANGED
@@ -16,18 +16,12 @@ The **Impresso NER model** is a multilingual named entity recognition model trai
|
|
16 |
|
17 |
### Model Description
|
18 |
|
19 |
-
- **Developed by:** [Impresso team](https://impresso-project.ch
|
20 |
-
|
21 |
-
|
22 |
-
|
23 |
-
|
24 |
-
|
25 |
-
by the SNSF under grant No. [CRSII5_213585](https://data.snf.ch/grants/grant/213585)
|
26 |
-
and the Luxembourg National Research Fund under grant No. 17498891.
|
27 |
-
- **Model type:** Stacked BERT-based token classification model for named entity recognition
|
28 |
-
- **Language(s):** French, German, English (with additional support for multilingual historic texts)
|
29 |
-
- **License:** [GNU Affero General Public License v3 or later](https://github.com/impresso/impresso-pyindexation/blob/master/LICENSE)
|
30 |
-
- **Finetuned from model:** [dbmdz/bert-medium-historic-multilingual-cased](https://huggingface.co/dbmdz/bert-medium-historic-multilingual-cased)
|
31 |
|
32 |
### Model Architecture
|
33 |
|
|
|
16 |
|
17 |
### Model Description
|
18 |
|
19 |
+
- **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).
|
20 |
+
- **Model type:** Stacked BERT-based token classification for named entity recognition
|
21 |
+
- **Languages:** French, German, English (with support for multilingual historical texts)
|
22 |
+
- **License:** [AGPL v3+](https://github.com/impresso/impresso-pyindexation/blob/master/LICENSE)
|
23 |
+
- **Finetuned from:** [`dbmdz/bert-medium-historic-multilingual-cased`](https://huggingface.co/dbmdz/bert-medium-historic-multilingual-cased)
|
24 |
+
|
|
|
|
|
|
|
|
|
|
|
|
|
25 |
|
26 |
### Model Architecture
|
27 |
|