Extremely-Fine-Grained-Entity-Typing
Extremely-Fine-Grained-Entity-Typing copied to clipboard
PyTorch implementation of our paper "Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing" (NAACL19)
Results
2
Extremely-Fine-Grained-Entity-Typing issues
Sort by
recently updated
recently updated
newest added
Can someone please tell how much time was required to complete the training? I am basically using the following command - `CUDA_VISIBLE_DEVICES=1 python main.py $RUN_ID$ -lstm_type single -model_debug -enhanced_mention -data_setup...
Hi, thanks for sharing code ! I notice that in the forward function of class GCNMultiDecoder in model_util.py def forward(self, inputs, output_type): connection_matrix = self.label_matrix + self.weight * self.affinity label_vectors...