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UCL Institute of Health Informatics Seminar w/ Julien Fauqueur


Julien will be giving a talk at the UCL Institute of Health Informatics about Relation extraction from biomedical literature for drug discovery.

The challenge of Drug discovery is double: it requires us to understand the biological rationale for the disease as well as finding novel biological associations which can lead to the development of a new drug. In this context, extracting biomedical interactions from the literature is key and I will give an overview of how at BenevolentAI we approach this problem. I will present "interpret", a method we recently published at ACL'19, a major NLP conference. It allows drug scientists to find literature evidence for specific types of biomedical interactions in the absence of curated datasets.

Julien’s biography

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Julien Fauqueur is an AI research manager at BenevolentAI developing Natural Language Processing methods for Biomedical Information Extraction. He holds a PhD in Computer Science from INRIA (France). While a research associate at the University of Cambridge, then as a researcher in start-ups, he developed new methods and products using computer vision and machine learning. His work was published in over 20 publications and led to 4 patents.

 

Research

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