Dr. Alberto Barrón-Cedeño


Scientist
Arabic Language Technologies

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QCRI represents a great opportunity to work side by side with high-class researchers on language technologies that have impact all-around the globe.

Research Focus at QCRI

Alberto is a Scientist in QCRI’s Arabic Language Technologies group. He is interested in the development of technology for the analysis and exploitation of (multilingual) text.

Previous Experience

Prior to joining QCRI, Alberto worked at the Talp Research Center, Universitat Politecnica de Catalunya (Spain), where he was an ERCIM Alain Bensoussan fellow.

Alberto has been involved in various European and Spanish projects on natural language processing, information retrieval, and machine translation. He has co-authored 5 journal papers and over 25 conference papers in top venues. Alberto has also co-organised various editions of the PAN Evaluation Labs on Uncovering Plagiarism, Authorship, and Social Software Misuse at CLEF. In addition, he serves as a committee member in journals such as Knowledge-based Systems (Elsevier) and Language Resources and Evaluation (Springer), as well as international conferences such as ACM's SIGIR and EMNLP.

Alberto received a PhD and MS in Computer Science from the Universitat Politecnica de Valencia (Spain), and a MS and BS in Computer Science from Universidad Nacional Autonoma de Mexico.

 

Professional Experience


Professional Associations and Awards


Education


Selected Research


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In the Media

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Algorithm can create a bridge between Clinton and Trump supporters

20/02/2017

A growing number of people have expressed their concern about high levels of polarization in society. For instance, the World Economic Forum's report on global risks lists the increasing societal ...

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The hero big data needs? Data Civilizer helps scientists conquer the clutter

29/01/2017

Big data is a big deal. With these huge data sets, analysts can gain unprecedented insight into the hidden patterns of fields like physics, healthcare, and finance. Collecting and analyzing this data...

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Taming data

22/01/2017

The age of big data has seen a host of new techniques for analyzing large data sets. But before any of those techniques can be applied, the target data has to be aggregated, organized, and cleaned up...

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Upcoming Events

2017

MLDAS 2017

(MLDAS 2017) Machine Learning and Data Analytics Symposium

Download ICS File 13/03/2017  - 14/03/2017 , Qatar National Convention Centre

Machine Learning and Data Analytics Symposium - MLDAS 2017 Building on the success of the three previous events , Boeing and QCRI will hold the Fourth Machine Learning and Data Analytics Symposium (...

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Past Events

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Women in Data Science

Download ICS File 03/02/2017 ,

Here's a great chance to learn about the latest data science-related research in multiple domains, as part of a global project. Qatar's WiDS event will be held here at the HBKU Research Complex on ...

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2016

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QCRI - IBM Data Science Connect 2016

Download ICS File 16/11/2016 ,

QCRI–IBM Data Science Connect 2016  Doha, Qatar 12.30pm –5:30pm, Wednesday, November 16 HBKU Research Complex, Ground Level Multi-Purpose Room Google Map link to location https://goo.gl/maps/...

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News Releases

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Boeing Partners with QCRI for fourth annual Machine Learning and Data Analytics Symposium (MLDAS)

09/02/2017

The Boeing Company has announced that it will once again partner with the Qatar Computing Research Institute (QCRI), part of Hamad bin Khalifa University, to host the fourth annual Machine Learning ...

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QCRI’s Jalees Reader app launched in more languages

06/12/2016

French and German interfaces added for free app which allows users to upload books and read them offline.

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IBM Watson scientist visits Qatar to present platform that 'thinks like a human'

16/11/2016

IBM Watson’s chief data scientist Romeo Kienzler has visited the Qatar Computing Research Institute to conduct a workshop on Watson, a question-answering platform that can “think like a human”. Mr ...

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