【ACL-2019】A Novel Bi-directional Interrelated Model for Joint Intent Detection and Slot Filling

一、Background

二、Contributions

    1. A novel ID subnet is proposed to apply the slot information to intent detection task;(最大的贡献
    2. A novel iteration mechanism inside the SF-ID network in order to enhance the connections between the intent and slots;
    3. The experiments on two benchmark datasets show the effectiveness and superiority of the proposed model.

三、Approaches

    • 1.SF-First Mode:We apply the intent context vector Cinte and slot context vector Cslot in the SF subnet and generate the slot reinforce vector Rslot. Then, the newly formed vector Rslot is fed to the ID subnet to bring the slot information.(将SF信息带入ID中).
      • SF subnetCislot和Cinte就和Slot-Gated 里面的一样,分每个隐藏状态的attention和整个隐藏状态的attention。
      • ID subnet
      • Iteration Mechanism
    • 2.ID-First Mode
    • 3.CRF layer:加在the SF subnet outputs上

四、Experiment

五、Refs

paper