|
Research Area: Search Technologies |
Profile
Hugo Zaragoza is a researcher working on Information Retrieval at Yahoo! Research Barcelona. He is interested in the applications of machine learning (ML) and natural language processing (NLP) for information retrieval (IR).
More specifically, he is interested in developing measures or relevance (i.e. ranking functions) between linguistic objects such as search queries and web documents.
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 spent a considerable amount of time collaborating with Microsoft product groups such as 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
- 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]
- Semantically Annotated Snapshot of the English Wikipedia v.0 (SW0) Zaragoza, H. ; Atserias, J. ; Ciaramita, M. ; Attardi, G., 2007
- 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
- On rank-based effectiveness measures and optimization Robertson, Stephen ; Zaragoza, Hugo, Information Retrieval, 2007
- The Smoothed Dirichlet distribution: Explaining KL-divergence in information retrieval Nallapati, Ramesh ; Minka, Thomas ; Zaragoza, Hugo ; Robertson, Stephen, CIIR, 2006
- Optimisation methods for ranking functions with multiple parameters Taylor, Michael ; Zaragoza, Hugo ; Craswell, Nick ; Robertson, Stephen ; Burges, Chris, Fifteenth Conference on Information and Knowledge Management (ACM CIKM), 2006
- On rank-based effectiveness measures and optimisation Robertson, Stephen ; Zaragoza, Hugo, Research Technical Report MSR-TR-2006-61, 2006
- Microsoft Cambridge at TREC-14: Enterprise track Craswell, Nick ; Zaragoza, Hugo ; Robertson, Stephen, Text {REtrieval} Conference (TREC-14), 2005
- Learning What To Talk About in Descriptive Games Zaragoza, H. ; Li, C.H., Human Language Technology Conference / Conference on Empirical Methods in Natural Language Processing (HLT/EMNLP 2005), 2005
- Relevance weighting for query independent evidence Craswell, Nick ; Robertson, Stephen ; Zaragoza, Hugo ; Taylor, Michael, Proceedings of ACM SIGIR'2005, 2005
- Microsoft Cambridge at TREC 13: Web and HARD tracks Zaragoza, H. ; Craswell, N. ; Taylor, M. ; Saria, S. ; Robertson, S., Text {REtrieval} Conference (TREC-13), 2004
- Simple BM25 Extension to Multiple Weighted Fields Robertson, S.E. ; Zaragoza, H. ; Taylor, M., Thirteenth Conference on Information and Knowledge Management (CIKM), 2004
- Parsimonious Language Models for Information Retrieval Hiemstra, D. ; Robertson, S.E. ; Zaragoza, H., ACM Conference on Research and Development in Information Retrieval (SIGIR), 2004
- Microsoft Cambridge at TREC 12: HARD track Robertson, S.E. ; Zaragoza, H. ; Taylor, M., Text Retrieval Conference (TREC--12), 2003
- Bayesian extension to the Language Model for ad hoc Information Retrieval Zaragoza, H. ; Hiemstra, D. ; Tipping, M. ; Robertson, S.E., 2003 ACM Conference on Research and Development in Information Retrieval (SIGIR), 2003
- Language Modelling and Relevance Jones, K. ; Robertson, S.E. ; Hiemstra, D. ; Zaragoza, H., Language Modelling for Information Retrieval, Kluwer Academic Publishers, 2003