Motivated by the above observations, we propose a novel cooperative denoising framework (see Figure 1) to leverage the corpus-based and KG-based information.
we design two base networks, Corpus-Net and KG-Net, which are modeled with two separate Gated Recurrent Unit (GRU) networks, to predict relations using word-sequence and entity-sequence respectively.