Update README.md

README.md

@@ -1,20 +1,20 @@
----
-language:
-- nl
-base_model:
-- FacebookAI/xlm-roberta-base
-pipeline_tag: token-classification
-tags:
-- coreference
-- resolution
-- gender
-- neutral
-- pronouns
-- debiading
-- dutch
-- CDA
----
-This Dutch coreference resolution model is based on the [wl-coref](https://github.com/vdobrovolskii/wl-coref) model. The model was debiased through applying CDA, in order to improve its performance on gender-neutral pronouns and neopronouns. We used [XLM-RoBERTa-base](https://huggingface.co/FacebookAI/xlm-roberta-base) as our base model, fine-tuned the model on the [SoNaR-1 corpus](https://taalmaterialen.ivdnt.org/download/tstc-sonar-corpus/), and then further fine-tuned the model on a gender-neutral version of the this corpus for debiasing purposes. We used five different seeds during our experiment, and upload the five versions of the model.
+---
+language:
+- nl
+base_model:
+- FacebookAI/xlm-roberta-base
+pipeline_tag: token-classification
+tags:
+- coreference
+- resolution
+- gender
+- neutral
+- pronouns
+- debiading
+- dutch
+- CDA
+---
+This Dutch coreference resolution model is based on the [wl-coref](https://github.com/vdobrovolskii/wl-coref) model. The model was debiased through CDA, in order to improve its performance on gender-neutral pronouns and neopronouns. We used [XLM-RoBERTa-base](https://huggingface.co/FacebookAI/xlm-roberta-base) as our base model, fine-tuned the model on the [SoNaR-1 corpus](https://taalmaterialen.ivdnt.org/download/tstc-sonar-corpus/), and then further fine-tuned the model on a gender-neutral version of the this corpus for debiasing purposes. We used five different seeds during our experiment, and upload all five versions of the model.
 
 For more information, see our [Github repository](https://github.com/gvanboven/Transforming_Dutch).