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BioNLP Research at Google

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If you have a question about this talk, please contact Edoardo Maria Ponti.

In this talk I will highlight some ongoing efforts at Google on improving discovery from biomedical literature. Topics will include research in retrieval, evidence extraction, answer linking and network embedding for biomedical ontologies. I will focus on how each of these interact to create a cohesive tool to accelerate literature search. Most of the talk will focus on document and evidence retrieval, which is the entry point for all literature tools. I will discuss advances in deep learning in this space and show they make a noticeable impact in quality for the domain. Specifically, recent models that jointly extract relevant documents and focused evidence passages can increase retrieval metrics substantially. Joint work with many colleagues at Google Research and Athens University of Economics and Business.

This talk is part of the Language Technology Lab Seminars series.

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