Update README.md

README.md

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 ## Who we are?
 
-We are a multidisciplinary team from the Universitad de Buenos Aires. We are experts in various areas such as sociology, law and computer science.
+We are a multidisciplinary research team based at the Universidad de Buenos Aires. We are experts in various areas such as sociology, law and computer science.
 
 
 ## What we do?
 
-Our research aims to study and implement methodologies for the study of social exclusions, from an interdisciplinary approach, by applying research techniques focused on the analysis of large volumes of data.
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-We mainly work on textual sources, using different techniques and strategies from artificial intelligence, such as text mining and natural language processing (NLP) and machine learning, including deep neural networks (deep learning), multivariate statistical methods and data visualization.
+Our research aims to study and implement methodologies for the study of social exclusions, from an interdisciplinary approach, by applying research techniques focused on the analysis of large volumes of data. We mainly work on textual sources, using different techniques and strategies from artificial intelligence, such as text mining and natural language processing (NLP) and machine learning, including deep neural networks (deep learning), multivariate statistical methods and data visualization.
 
 Here we are pleased to present  results of a study on hate speech detection in social networks, from an interdisciplinary perspective, addressing hate speech both quantitative and qualitatively, during the COVID-19 pandemic time frame.
 
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 ## Published Work
 
 - Cotik, V., Debandi, N., Luque, F. M., Miguel, P., Moro, A., Pérez, J. M., ... & Zayat, D. (2020). [A study of Hate Speech in Social Media during the COVID-19 outbreak](https://openreview.net/pdf?id=01eOESDhbSW).