[COLING2016]Semantic Relation Classification via Hierarchical Recurrent Neural Network with Attentio
2018-03-02 09:31
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实体对将句子分为５个部分即左部分，实体１，中间部分，实体２，右部分，其中左部分，中间部分和右部分三个序列中每一部分都有一系列词组成，分别对其进行bilstm＋attention生成r11, r22和r33, 按照Figure1所示，假设entity1 的indice是j, entity2的indice是K, 那么有r11, xjj, r22, xkk和r33组成的５部分进行第二次bilstm, 接着这５部分进行attention，最后经过一个softmax得到关系的类型
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