Create README.md

README.md

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+---
+language: es        # <-- my language
+widget:
+ - text: "Hoy me contrataron!"
+---
+
+# Detection of employment status disclosures on Twitter 
+
+## Model main characteristics:
+- class: Is Hired (1), else (0)
+- country: MX 
+- language: Spanish
+- architecture: BERT base
+
+## Model description 
+This model is a version of `dccuchile/bert-base-spanish-wwm-cased` finetuned to recognize Spanish tweets where a user mentions that she was hired in the past month. It was trained on Spanish tweets from users based in Mexico. The task is framed as a binary classification problem with:
+- the positive class referring to tweets mentioning that a user was recently hired (label=1)
+- the negative class referring to all other tweets (label=0)
+
+## Resources
+
+The dataset of Spanish tweets on which this classifier was trained is open-sourced [here](https://github.com/manueltonneau/twitter-unemployment).
+Details on the performance can be found in our [ACL 2022 paper](https://arxiv.org/abs/2203.09178).
+
+## Citation
+
+If you find this model useful, please cite our paper (citation to come soon).