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Beyond associations: A benchmark Causal Relation Extraction Dataset (CRED) of disease-causing genes, its comparative evaluation, interpretation and application

2024-09-21

Abstract excerpt

<h4>ABSTRACT</h4> Information on causal relationships is essential to many sciences, including biomedical science, and beneficial (e.g., causative rather than merely associative gene-disease relations can lead to better treatments). Despite much work on Relation Extraction (RE), automatically extracting causal relations from large text corpora remains less explored. Few existing studies on CRE (Causal RE) are lim...

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Literature Corpus work
26f57b7f-3e0a-5989-8b64-68894df5229e
DOI
10.1101/2024.09.17.613424
Open publication

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Beyond associations: A benchmark Causal Relation Extraction Dataset (CRED) of disease-causing genes, its comparative evaluation, interpretation and applicationDOI 10.1101/2024.09.17.613424
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