Concept Extraction Challenge: University of Twente at #MSM2013

Mena B. Habib, Maurice van Keulen, Zhemin Zhu
2013 Workshop on Making Sense of Microposts  
Twitter messages are a potentially rich source of continuously and instantly updated information. Shortness and informality of such messages are challenges for Natural Language Processing tasks. In this paper we present a hybrid approach for Named Entity Extraction (NEE) and Classification (NEC) for tweets. The system uses the power of the Conditional Random Fields (CRF) and the Support Vector Machines (SVM) in a hybrid way to achieve better results. For named entity type classification we use
more » ... IDA [8] disambiguation system to disambiguate the extracted named entities and hence find their type.
dblp:conf/msm/HabibKZ13 fatcat:kysj63hifjaclnzceop3dpkwwq