2k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
3 papers · 1 filter
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…
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…
A Hierarchical Transformer for Unsupervised Parsing
Ashok Thillaisundaram
The underlying structure of natural language is hierarchical; words combine into phrases, which in turn form clauses. An awareness of this hierarchical structure can aid machine le…