WeLT-ASpERT: Attention Weight Mechanism JNERE Using WeLT
Authors: Ghadeer Mobasher*, Olga Krebs, Wolfgang Müller, and Michael Gertz
Installation
Dependencies
Please make sure to install all required dependencies.
Data Preparation
Fetch Data :
bash ./scripts/fetch_datasets.sh
Example
Train CoNLL04 data :
python main.py train --config configs/conll04_train.conf
Citation
The manuscript is in preparation (TBD)
References
- Markus Eberts, Adrian Ulges. Span-based Joint Entity and Relation Extraction with Transformer Pre-training. 24th European Conference on Artificial Intelligence, 2020.
- Jianquan Ouyang, Jing Zhang, Tianming Liu. Attention Weight is Indispensable in Joint Entity and Relation Extraction. Intelligent Automation and Soft Computing, 2022.
Acknowledgment
Ghadeer Mobasher* is part of the PoLiMeR-ITN and is supported by the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement PoLiMeR, No 812616.