In this paper, we propose a novel model of Shared-Private Representation Model (SPRM) shown in Fig. 2, which encodes the shared and private information of the target extraction sub-task and the target classification sub-task effectively at a lower cost.
a Shared BERT Network is designed to encode as much shared information of both sub-tasks as possible, and two Private BiLSTMs are introduced to get the supplementary private representations for each task with fewer parameters than BERT.