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WeLT-SpERT: Span-based Joint Named Entity and Relation Extraction Using WeLT

Authors: Ghadeer Mobasher*, Olga Krebs, Wolfgang Müller, and Michael Gertz

WeLT-SpERT Architecture

Installation

Dependencies Please make sure to install all required dependencies.

Data Preparation

-Fetch Data :

bash ./scripts/fetch_datasets.sh

Examples

(1) Train CoNLL04 on train dataset, evaluate on dev dataset:

python ./spert.py train --config configs/example_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.

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.