Vo and Zhang (2015) exploit the left and right context around a target in a tweet and combine low-dimensional embedding features from both contexts and the full tweet using a number of different pooling functions. Despite not fully capturing semantic and syntactic information given the target entity, they show a much better performance than<cite> Dong et al. (2014)</cite> , indicating useful signals in relation to the target can be drawn from such context representation.