ayyyq/DORE

code for [EMNLP22 findings] DORE: Document Ordered Relation Extraction based on Generative Framework

Python

11

4 commits

updated Sep 11, 2024

See the code

README

DORE: Document Ordered Relation Extraction based on Generative Framework

The paper is accepted to Findings of EMNLP 2022.

Requirements

transformers==4.16.2

Experiments

To run the code, change the parameters as you need and use

bash run.sh

We have offered a checkpoint for 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. Due to storage limitations, we no longer provide our checkpoint. Sorry for any inconvinence.

ayyyq/DORE

code for [EMNLP22 findings] DORE: Document Ordered Relation Extraction based on Generative Framework

Python

11

4 commits

updated Sep 11, 2024

See the code

README

DORE: Document Ordered Relation Extraction based on Generative Framework

The paper is accepted to Findings of EMNLP 2022.

Requirements

transformers==4.16.2

Experiments

To run the code, change the parameters as you need and use

bash run.sh

We have offered a checkpoint for 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. Due to storage limitations, we no longer provide our checkpoint. Sorry for any inconvinence.