I was recently interviewed by Edaena Salinas as part of the Abie Award series. You can listen to the show here.

Super excited to give an invited talk at the 50th Linguistic Symposium on Romance Languages (LSRL 50). During this talk I will present the work my group has been doing on enabling technology for code-switching data.  

I’m presenting an overview on my experience as a researcher in Academia. I will discuss the different challenges I have faced through the years as someone coming from a different background and with many interests that go beyond my research…

I’ll be attending RANLP 2019 to present our work on modelling style with author and character embeddings. Paper link will follow soon!

Together with Christy Doran, I’m PC co-chair for the 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) that will be help in Minneapolis, USA, the first week of June. You…

I’m invited speaker at the Mexican International Conference on Artificial Intelligence 2017. I’ll be presenting recent results from my group on using hybrid models to do Named Entity Recognition. Details of the conference can be found here: https://www.micai.org/2017/

I’m giving an invited talk at the SocialNLP workshop colocated at EACL 2017. I’ll discuss the research challenges my group is addressing with respect to processing mixed language data from social media platforms. Check out more details here.

I’ve been invited to be the keynote speaker at the First Mexican Workshop on Plagiarism Detection and Authorship Analysis. The program for the event is here: First Mexican Workshop on Plagiarism Detection and Authorship Analysis Details of my Talk are…

I received a travel scholarship and I’m super excited and looking forward to attend! I’m a CRA-W alumn, I attended my first CRA-W event when I completed my PhD and it has always been a great learning experience.

We co-organized the first shared task on language identification on Code-Switched data. The target data was Twitter data and we had 4 language combinations: Spanish-English, Nepali-English, Mandarin-English and Modern Standard Arabic-Arabic Dialects. We received a great response with 8 teams…