118 citations
2 papers
cs.LG2020★ 118 cited
Molecular representation learning with language models and domain-relevant auxiliary tasks
Benedek Fabian, Thomas Edlich, Héléna Gaspar +4
We apply a Transformer architecture, specifically BERT, to learn flexible and high quality molecular representations for drug discovery problems. We study the impact of using diffe…
cs.CL2020
Learning Informative Representations of Biomedical Relations with Latent Variable Models
Harshil Shah, Julien Fauqueur
Extracting biomedical relations from large corpora of scientific documents is a challenging natural language processing task. Existing approaches usually focus on identifying a rel…