Hard parameter sharing greatly reduces the risk of overfitting (Baxter, 1997) and increases the correlation of our boundary detection module and categorical label prediction module.
in our model, it is inconvenient and inefficient for the reason that we predict entity categorical labels after all boundary-relative regions have been detected.