code for [EMNLP22 findings] DORE: Document Ordered Relation Extraction based on Generative Framework
Python
11
4 commits
updated Sep 11, 2024
The paper is accepted to Findings of EMNLP 2022.
transformers==4.16.2
To run the code, change the parameters as you need and use
bash run.sh
We have offered a checkpoint for Due to storage limitations, we no longer provide our checkpoint. Sorry for any inconvinence.DORE + negative sampling_digonal + distant, since it takes a long time (about 7 days) to pre-train on the distantly supervised dataset. Please download it from here.
code for [EMNLP22 findings] DORE: Document Ordered Relation Extraction based on Generative Framework
Python
11
4 commits
updated Sep 11, 2024
The paper is accepted to Findings of EMNLP 2022.
transformers==4.16.2
To run the code, change the parameters as you need and use
bash run.sh
We have offered a checkpoint for Due to storage limitations, we no longer provide our checkpoint. Sorry for any inconvinence.DORE + negative sampling_digonal + distant, since it takes a long time (about 7 days) to pre-train on the distantly supervised dataset. Please download it from here.