git《Joint Entity and Relation Extraction with Set Prediction Networks》(2020) GitHub:

Last update: Dec 13, 2022

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Overview

Joint Entity and Relation Extraction with Set Prediction Networks

Source code for Joint Entity and Relation Extraction with Set Prediction Networks. We would appreciate it if you cite our paper as following:

@article{sui2020joint,
  title={Joint Entity and Relation Extraction with Set Prediction Networks},
  author={Sui, Dianbo and Chen, Yubo and Liu, Kang and Zhao, Jun and Zeng, Xiangrong and Liu, Shengping},
  journal={arXiv preprint arXiv:2011.01675},
  year={2020}
}

Model Training

NYT Partial Match

python -m main --num_generated_triplets 15 --na_rel_coef 1 --max_grad_norm 1 --max_epoch 100 --max_span_length 10

NYT Exact Match

python -m main --num_generated_triplets 15 --max_grad_norm 2.5 --na_rel_coef 0.25 --max_epoch 100 --max_span_length 10

python -m main --num_generated_triplets 15 --max_grad_norm 1 --na_rel_coef 0.5 --max_epoch 100 --max_span_length 10

WebNLG Partial Match

python -m main --batch_size 4 --num_generated_triplets 10 --na_rel_coef 0.25 --max_grad_norm 20  --max_epoch 100 --encoder_lr 0.00002 --decoder_lr 0.00005 --num_decoder_layers 4 --max_span_length 10 --weight_decay 0.000001 --lr_decay 0.02

Trained Model Parameters

Model parameters can be download in Baidu Pan (key: SetP) 😎

git《Joint Entity and Relation Extraction with Set Prediction Networks》(2020) GitHub:

Related tags

Overview

Joint Entity and Relation Extraction with Set Prediction Networks

Model Training

NYT Partial Match

NYT Exact Match

WebNLG Partial Match

Trained Model Parameters

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