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Research Area: Search Technologies |
Profile
Hugo Zaragoza leads the Natural Language Retrieval group in Barcelona. He is interested in the applications of machine learning (ML) and natural language processing (NLP) for information retrieval (IR), Web search, and information access in general.
From 2001 to 2006, Hugo worked at Microsoft Research (Cambridge, UK) with Stephen Robertson, mostly on probabilistic ranking methods for corporate and web search, but also on document classification, expert finding, relevance feedback, and dialogue generation for games. He also collaborated with Microsoft product groups MSN-Search and SharePoint Portal Server.
Prior to Microsoft Research, Hugo taught computer science and completed a Ph.D. at the LIP6 (U. Paris 6) on the application of dynamic probabilistic models to a wide range of Information Access problems.
Recent Publications, Projects and News
- Semi-Parametric and Non-parametric Term Weighting for Information Retrieval Donald Metzler; Hugo Zaragoza, International Conference on the Theory of Information Retrieval (ICTIR), 2009 [view abstract]
- Learning to Tag and Tagging to Learn: A Case Study on Wikipedia Peter Mika; Massimiliano Ciaramita; Hugo Zaragoza; Jordi Atserias, IEEE Intelligent Systems, 2008, 5 [view abstract]
- Semantically Annotated Snapshot of the English Wikipedia Jordi Atserias; Hugo Zaragoza; Massimiliano Ciaramita; Giuseppe Attardi; European Language Resources Association (ELRA), Sixth International Language Resources and Evaluation (LREC'08), 2008 [view abstract]
- Ranking very many typed entities on wikipedia Hugo Zaragoza; Henning Rode; Peter Mika; Jordi Atserias; Massimiliano Ciaramita; Giuseppe Attardi, Proceedings of the Sixteenth ACM Conference on Information and Knowledge Management, CIKM 2007, 2007
- Semantically Annotated Snapshot of the English Wikipedia v.0 (SW0) Zaragoza, H. ; Atserias, J. ; Ciaramita, M. ; Attardi, G., 2007


