I currently work at Slice Technologies as Data Scientist on Natural Language Processing applied to product attribute extraction and classification. I worked as a research scientist at the Rakuten Institute of Technology (RIT) working on product clustering, categorization and taxonomy alignment problems. I carried my postdoctoral research on Temporal Information Extraction at the Blender Lab of Queens College. I received my PhD in Computer Science from the UNED University in 2009 under the of Prof. Julio Gonzalo and Enrique Amigó. My PhD research was focused on Web People Search (WePS), document clustering and personal attribute extraction from web documents. Specialties: Natural Language Processing, Information Extraction, Information Retrieval, Document Clustering, Web search. http://scholar.google.com/citations?user=mxIpo5IAAAAJ&hl=en&oi=ao

Data Scientist @ From April 2015 to Present (9 months) Research Scientist @ From February 2012 to April 2015 (3 years 3 months) Post-doctoral Research Associate @ Research on the Temporal Information Extraction and Entity Linking problems. Participation on the KBP2011 evaluation campaign. Teaching. From August 2010 to February 2012 (1 year 7 months) Natural Language Processing Researcher @ From October 2003 to 2010 (7 years) Research Scientist @ Information Extraction and Natural Language Processing From 2008 to 2008 (less than a year)

PhD, Natural Language Processing and Information Retrieval @ Universidad Nacional de Educación a Distancia - U.N.E.D. From 2005 to 2009 M.S., Natural Language Processing and Information Retrieval @ Universidad Nacional de Educación a Distancia - U.N.E.D. From 2003 to 2005 B.A. with honors, Linguistics, specialized in Computational Linguistics @ Universidad Complutense de Madrid From 1998 to 2003 Javier Artiles is skilled in: Natural Language Processing, Information Retrieval, Information Extraction, Search, Computational Linguistics, Record Linkage, Search Engines, Data Mining, Machine Learning, Java, Text Mining, Recommender Systems, Linguistics, Pattern Recognition, Text Analytics, Artificial Intelligence