Papers by François Remy
BioDEX: Large-Scale Biomedical Adverse Drug Event Extraction for Real-World Pharmacovigilance (2023.findings-emnlp)
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Karel D’Oosterlinck, François Remy, Johannes Deleu, Thomas Demeester, Chris Develder, Klim Zaporojets, Aneiss Ghodsi, Simon Ellershaw, Jack Collins, Christopher Potts
| Challenge: | pharmacovigilance (PV) is a tool for analyzing adverse drug events from biomedical literature . pharmacologists use natural language processing to extract core information from papers . |
| Approach: | They propose a resource for biomedical adverse drug event eXtraction using natural language processing. |
| Outcome: | The proposed model achieves 59.1% F1 (validation) and estimates human performance to be 72.0% F1 . the proposed model could be used to improve drug safety monitoring, also called pharmacovigilance, in the future. |
BioLORD: Learning Ontological Representations from Definitions for Biomedical Concepts and their Textual Descriptions (2022.findings-emnlp)
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| Challenge: | BioLORD is a pre-training strategy for producing meaningful representations for clinical sentences and biomedical concepts. |
| Approach: | They propose a pre-training strategy for producing meaningful representations for clinical sentences and biomedical concepts using definitions and ontologies. |
| Outcome: | The proposed model produces more semantic representations that match more closely the hierarchical structure of ontologies. |