In this paper, we come up with two types of attention mechanisms to enforce the model to take full advantage of the contextual information for negative focus detection.
we introduce a framework which consists of a bidirectional long short-term memory neural network and a conditional random fields layer (BiLSTM-CRF) to effectively encode the order information and the long-range context dependency in sentence.