Update README.md

README.md

@@ -6,7 +6,7 @@ language:
 - es
 license: mit
 model-index:
-- name: es_neg_uncert_ehr_ner
+- name: es_NegUncertaintyNER
   results:
   - task:
       name: NER
@@ -24,7 +24,7 @@ model-index:
 ---
 | Feature | Description |
 | --- | --- |
-| **Name** | `es_neg_uncert_ehr_ner` |
+| **Name** | `es_NegUncertaintyNER` |
 | **Version** | `0.0.0` |
 | **spaCy** | `>=3.7.2,<3.8.0` |
 | **Default Pipeline** | `transformer`, `ner` |
@@ -54,4 +54,42 @@ model-index:
 | `ENTS_P` | 89.65 |
 | `ENTS_R` | 89.97 |
 | `TRANSFORMER_LOSS` | 34598.52 |
-| `NER_LOSS` | 35036.89 |
+| `NER_LOSS` | 35036.89 |
+
+
+
+## Citation
+If you use our work in your research, please cite it as follows:
+
+```bibtex
+@INPROCEEDINGS{garcia-barraganCBMS2023,
+  author={García-Barragán, Alvaro and Solarte-Pabón, Oswaldo and Nedostup, Georgiy and Provencio, Mariano and Menasalvas, Ernestina and Robles, Victor},
+  booktitle={2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS)},
+  title={Structuring Breast Cancer Spanish Electronic Health Records Using Deep Learning},
+  year={2023},
+  pages={404-409},
+  keywords={Natural Language Processing (NLP), Information extraction, Deep Learning, Breast cancer.},
+  doi={10.1109/CBMS58004.2023.00252}
+}
+```
+
+## Installing
+
+```
+!pip install pip==22.0.2
+!pip install https://huggingface.co/Alvaro8gb/es_neg_uncert_ehr_ner/resolve/main/es_neg_uncert_ehr_ner-any-py3-none-any.whl
+
+```
+
+## Dataset 
+
+Corpus composed of 29,682 sentences obtained from anonymised health records annotated with negation and uncertainty.
+
+```bibtex
+@article{lima2020nubes,
+  title={NUBes: A corpus of negation and uncertainty in Spanish clinical texts},
+  author={Lima, Salvador and Perez, Naiara and Cuadros, Montse and Rigau, German},
+  journal={arXiv preprint arXiv:2004.01092},
+  year={2020}
+}
+```