Jesús Giménez


Jesus Gimenez

My research interests relate to Machine Learning applied to Natural Language Processing and to the study of Evaluation Methods.

Initially, I worked on the problem of sequential tagging. I implemented the SVMTool which is still in use by the research community worldwide. Then, for almost a decade I studied the application of empirical methods to Machine Translation, which was great because it gave me freedom to play on different subproblems. I ended up focusing, however, on the lexical selection problem, building discriminative models. Moreover, throughout my experience on MT I realised how important evaluation methods are along the system development cycle in NLP tasks, and decided to study manual and automatic evaluation methods more closely. I designed and built novel automatic similarity measures based on linguistic processing of texts and integrated them inside the Asiya Open Toolkit. Finally, in 2011, Google happenned to be looking for somebody exactly like me. I was run a job opportunity, and I decided to join them!

LinkedIn:  http://www.linkedin.com/in/jesusgimenez



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Doctoral Dissertation

2011

2010

2009

2008

2007

2006

2005

2004

2003

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(last updated March 23, 2011)