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

1. Markus Eberts, Adrian Ulges. Span-based Joint Entity and Relation Extraction with Transformer Pre-training. 24th European Conference on Artificial Intelligence, 2020.
2. 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.