I used to specialize in using Machine Learning for Natural Language Processing (NLP), especially Information Extraction, Text Classification etc. My specific focus was on using encyclopedic knowledge and semi-supervised learning to reduce the annotation effort and to provide fast and efficient solutions for the scientific community and the industry. Some of my projects included: sentiment analysis (finding out whether people say good or bad things about Microsoft products); detection of lawyers and clients in email communication and identification of potential conflicts of interest in law firms (for the Frayman Group); coherent dialogue generation for Honda's humanoid robot (Asimo); Reputation assignment (presenting only credible reviews about businesses in Google Maps.) I'm currently working on my generalist skills, developing systems : frontend and backend.