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The rapid growth in IT in the last two decades has led to a growth in the amount of information available online. A new style for sharing information is social media. Social media is a continuously instantly updated source of information. In this position paper, we propose a framework for Information Extraction (IE) from unstructured user generated contents on social media. The framework proposes solutions to overcome the IE challenges in this domain such as the short context, the noisy sparsedoi:10.3115/v1/w14-6202 dblp:conf/acl-swaie/MorganK14 fatcat:rma3h7h6hfdfbhaaeq2yetezb4