Papers by Michał Satława
Multilingual Entity and Relation Extraction Dataset and Model (2021.eacl-main)
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| Challenge: | HERBERTa is a pipeline for a multilingual task involving two separate BERT models. |
| Approach: | They propose a dataset and a model that combines two independently pretrained BERT models for a multilingual setting to approach the task of Joint Entity and Relation Extraction. |
| Outcome: | The proposed dataset achieves micro F1 81.49 for English on the SMiLER dataset . the proposed pipeline is close to the current SOTA on CoNLL, SpERT . |