Building a Relation Extraction Baseline for Gene-Disease Associations: A Reproducibility Study
July 04, 2022 ยท Declared Dead ยท ๐ arXiv.org
"No code URL or promise found in abstract"
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Authors
Laura Menotti
arXiv ID
2207.06226
Category
cs.CL: Computation & Language
Cross-listed
cs.IR,
q-bio.QM
Citations
0
Venue
arXiv.org
Last Checked
6 months ago
Abstract
Reproducibility is an important task in scientific research. It is crucial for researchers to compare newly developed systems with the state-of-the-art to assess whether they made a breakthrough. However previous works may not be immediately reproducible, for example due to the lack of source code. In this work we reproduce DEXTER, a system to automatically extract Gene-Disease Associations (GDAs) from biomedical abstracts. The goal is to provide a benchmark for future works regarding Relation Extraction (RE), enabling researchers to test and compare their results.
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