QCRI represents a great opportunity to work side by side with high-class researchers on language technologies that have impact all-around the globe.
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.
In the Media
Perhaps you bought some illegal narcotics on the Silk Road half a decade ago, back when that digital black market for every contraband imaginable was still online and bustling. You might already ...
Si quiere buscar un ejemplo de ciudadano del mundo, de los que al cabo del año vive y trabaja desde numerosos países, y a través de internet, esté donde esté, desarrolla en remoto actividades para ...
Each year, Qatar Computing Research Institute organizes a summer internship program for undergraduate students studying computer science, computer engineering and other disciplines. The internship is unpaid, and QCRI does not provide any visa support.
Machine Learning and Data Analytics Symposium - MLDAS 2018 Building on the success of the three previous events , Boeing and QCRI will hold the fifth Machine Learning and Data Analytics Symposium (...
QCRI is to offer an introduction to mobile app development workshop for boys and girls aged 13-16. Students will learn the basics of mobile app development using the App Inventor platform. The ...
Her Highness Sheikha Moza bint Nasser presents accolade for system that automatically converts speech to text using state-of-the-art speech recognition techniques.
MoU will promote collaboration via an exchange of research, academic materials, faculty and research scholars.