Update README.md

README.md

@@ -62,7 +62,7 @@ The model has been fine-tuned on three Named Entity Recognition (NER) tasks usin
 
  - [PharmaCoNER](https://zenodo.org/record/4270158): is a track on chemical and drug mention recognition from Spanish medical texts (for more info see: https://temu.bsc.es/pharmaconer/).
 
- - [CANTEMIST](https://zenodo.org/record/3978041#.YTt5qH2xXbQ): is a shared task specifically focusing on named entity recognition of tumor morphology, in Spanish (for more info see: https://zenodo.org/record/3978041#.YTt5qH2xXbQ). 
+ - [CANTEMIST](https://zenodo.org/record/3978041#.YTt5qH2xXbQ): is a shared task specifically focusing on named entity recognition of tumour morphology, in Spanish (for more info see: https://zenodo.org/record/3978041#.YTt5qH2xXbQ). 
 
  - ICTUSnet: consists of 1,006 hospital discharge reports of patients admitted for stroke from 18 different Spanish hospitals. It contains more than 79,000 annotations for 51 different kinds of variables.
  
@@ -70,7 +70,7 @@ We addressed the NER task as a token classification problem using a standard lin
 The table below shows the F1 scores obtained:
 
 | Tasks/Models | bsc-bio-es  | XLM-R-Galén        | BETO-Galén   | mBERT-Galén  | mBERT        | BioBERT      | roberta-base-bne |
-|--------------|--------------|----------------|--------------------|--------------|--------------|--------------|--------------|------------------|
+|--------------|----------------|--------------------|--------------|--------------|--------------|--------------|------------------|
 | PharmaCoNER  | **0.8907** | 0.8754       | 0.8537 | 0.8594 | 0.8671 | 0.8545 | 0.8474     |
 | CANTEMIST    | **0.8220**  | 0.8078 | 0.8153 | 0.8168 | 0.8116 | 0.8070  | 0.7875     |
 | ICTUSnet     | **0.8727**  | 0.8716       | 0.8498 | 0.8509 | 0.8631 | 0.8521 | 0.8677 |