Fabrizio Sebastiani

Principal Scientist
Data Analytics
With very strong research groups in (among others) language technologies, data analytics, and social computing, QCRI is a data scientist’s heaven and an opportunity to be at the forefront of today’s research.

Research Focus at QCRI

Fabrizio’s research interests lie at the intersection of information retrieval, machine learning, and human language technologies, with particular emphasis on text mining, text classification, information extraction from text, opinion mining, quantification, and their applications in fields such as medical informatics, market research, and customer relationships management.

Previous Experience

Fabrizio Sebastiani holds a “Laurea” summa cum laude from the University of Pisa, which he obtained in 1986. From March 2006 to June 2014, Fabrizio was a Senior Researcher at the Institute for the Science and Technologies of Information of the National Council of Research (ISTI-CNR), Italy, from which he is currently on leave. Prior to 2006, he was an Associate Professor at the Department of Pure and Applied Mathematics of the University of Padova, Italy.

Fabrizio is an Associate Editor for ACM Transactions on Information Systems (ACM Press) and AI Communications (IOS Press), and a member of the Editorial Boards of Information Retrieval (Kluwer) and Foundations and Trends in Information Retrieval (Now Publishers); of the latter he is also a past co-Editor-in-Chief and Founding Editor. Additionally, he is a past member of the Editorial Boards of ACM Computing Reviews (ACM Press), Journal of the American Society for Information Science and Technology (Wiley), and Information Processing and Management (Elsevier). He has been the General Chair of ECIR 2003 and SPIRE 2011, and a Program co-Chair of ACM SIGIR 2008 and ECDL 2010. From 2003 to 2007 he was the Vice-Chair of the ACM SIGIR Executive Committee. He is currently the Editor for Europe, Middle East, and Africa, of Springer's “Information Retrieval” book series; and was recently appointed General co-Chair of ACM SIGIR 2016.

Professional Experience

  •  (March 2006 - today): Permanent position as a Senior Researcher, Italian National Council of Research (at Istituto di Scienza e Tecnologia dell'Informazione - ISTI-CNR, Pisa, Italy).
  •  (January 2005 - February 2006): Permanent position as an Associate Professor, Department of Pure and Applied Mathematics, University of Padova, Italy.
  •  (January 2002 - December 2004): Permanent position as a Senior Researcher, Italian National Council of Research (at Istituto di Scienza e Tecnologia dell'Informazione  -  ISTI-CNR, Pisa, Italy).
  •  (April 1988 - December 2001): Permanent position as a Researcher, Italian National Council of Research (at Istituto di Scienza e Tecnologia dell'Informazione  -  ISTI-CNR, Pisa, Italy, formerly Istituto di Elaborazione dell'Informazione  -  IEI-CNR).
  •  (May 1986 -  March 1988): Contract Researcher, Department of Linguistics, University of Pisa, Italy.

Professional Associations and Awards

Fabrizio Sebastiani is a member of the Association of Computing Machinery (ACM) and of the Special Interest Group on Information Retrieval (SIGIR).


  • “Laurea” summa cum laude from the University of Pisa, 1986

Selected Research

  • Andrea Esuli, Diego Marcheggiani, Fabrizio Sebastiani, Oscar Tackstrom. Hierarchical Multi-label Conditional Random Fields for Aspect-Oriented Opinion Mining. Proceedings of the 36th European Conference on Information Retrieval (ECIR 2014), Amsterdam, NL, pp. 273-285. [DOI]
  • Stefano Baccianella, Andrea Esuli and Fabrizio Sebastiani. Feature Selection for Ordinal Text Classification. Neural Computation, 26(3):557-591, 2014. The MIT Press. [DOI]
  • Letizia Milli, Anna Monreale, Giulio Rossetti, Fosca Giannotti, Dino Pedreschi, Fabrizio Sebastiani. Quantification Trees. Proceedings of the 13th IEEE International Conference on Data Mining (ICDM 2013), Dallas, US, 2013, pp. 528-536. [DOI]
  • Andrea Esuli and Fabrizio Sebastiani. Improving Text Classification Accuracy by Training Label Cleaning. ACM Transactions on Information Systems, 31(4), 2013. ACM Press. [DOI]
  • Giacomo Berardi, Andrea Esuli, Fabrizio Sebastiani and Fabrizio Silvestri. Endorsements and Rebuttals in Blog Distillation. Information Sciences, 249:38-47, 2013. Elsevier Science Publishers. [DOI]
  • Andrea Esuli, Diego Marcheggiani, and Fabrizio Sebastiani. An Enhanced CRFs-based System for Information Extraction from Radiology Reports. Journal of Biomedical Informatics, 46(3):425-435, 2013. Elsevier Science Publishers. [DOI]

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In the Media

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Can AI Put An End To Fake News? Don't Be So Sure


Fake news was the Collin’s word of the year for 2017 with good reason. In a year where politics-as-usual was torn apart at the seams, high-profile scandals rocked our faith in humanity and the ...

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Improving disaster response efforts through data


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Upcoming Events

Past Events


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(MLDAS 2019) Machine Learning and Data Analytics Symposium

Download ICS File 01/04/2019  - 02/04/2019 ,

Machine Learning and Data Analytics Symposium - MLDAS 2019 Building on the success of the three previous events , Boeing and QCRI will hold the fifth Machine Learning and Data Analytics Symposium (...

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"Learning to See" Public talk by Professor Antonio Torralba (MIT-CSAIL)

Download ICS File 25/03/2019 ,

Visit by Antonio Torralba, who teaches machines to automate tasks that a human visual system can accomplish, is part of annual spring research update between QCRI and MIT-CSAIL.

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QCRI - MIT CSAIL 2019 Annual Project Review

Download ICS File 25/03/2019 ,

Executive Overview Sessions Open to publi Date: March 25, 2019 Time: 10:15AM - 5:15PM Venue: Hamad Bin Khalia Reseach Complex Multipurpose Room To view agenda, please click here . To RSVP to this ...

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News Releases


QCRI and iMMAP announce Memorandum of Understanding


Pact aims to apply data analysis and artificial intelligence techniques to solve humanitarian problems.

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UNDP partners with QCRI to use AI for social good


Qatar forum on leveraging AI to solve humanitarian problems fills to capacity.

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Renowned computing expert C. Mohan to bust blockchain myths in Qatar talk


Well-known inventor of database recovery algorithms to deliver keynote at QCRI's first blockchain workshop.

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