Update README.md

README.md

@@ -1,33 +1,31 @@
 ---
 annotations_creators:
-  - machine-generated
+- machine-generated
 language_creators:
-  - machine-generated
+- machine-generated
 widget:
-  - text: George Washington went to Washington.
-  - text: What is the seventh tallest mountain in North America?
+- text: George Washington went to Washington.
+- text: What is the seventh tallest mountain in North America?
 tags:
-  - named-entity-recognition
-  - sequence-tagger-model
+- named-entity-recognition
+- sequence-tagger-model
 datasets:
-  - Babelscape/cner
+- Babelscape/cner
 language:
-  - en
-license:
-  - cc-by-nc-sa-4.0
+- en
 pretty_name: cner-model
 source_datasets:
-  - original
+- original
 task_categories:
-  - structure-prediction
+- structure-prediction
 task_ids:
-  - named-entity-recognition
+- named-entity-recognition
 ---
 
 # CNER: Concept and Named Entity Recognition
 This is the model card for the NAACL 2024 paper [CNER: Concept and Named Entity Recognition](https://aclanthology.org/2024.naacl-long.461/). 
 We fine-tuned a language model (DeBERTa-v3-base) for 1 epoch on our [CNER dataset](https://huggingface.co/datasets/Babelscape/cner)
-The resulting CNER model is able to jointly identifing and classifying concepts and named entities with fine-grained tags.
+The resulting CNER model is able to jointly identifying and classifying concepts and named entities with fine-grained tags.
 
 **If you use the model, please reference this work in your paper**:
 
@@ -77,4 +75,4 @@ print(ner_results)
 
 ## Licensing Information
 
-Contents of this repository are restricted to only non-commercial research purposes under the [Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0)](https://creativecommons.org/licenses/by-nc-sa/4.0/). Copyright of the dataset contents and models belongs to the original copyright holders.
+Contents of this repository are restricted to only non-commercial research purposes under the [Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0)](https://creativecommons.org/licenses/by-nc-sa/4.0/). Copyright of the dataset contents and models belongs to the original copyright holders.