Browse QA-SRL + QANom

QA-SRL with nominalizations on 8,000 sentences.

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About the QA-SRL Project

We are a group of researchers spanning the University of Washington, Bar-Ilan University, Facebook AI Research, and the Allen Institute for Artificial Intelligence. Our goal is to advance the state of the art in broad-coverage natural language understanding. We believe the way forward is with new datasets that are:

Our research explores a variety of points in the design space spanned by these criteria. The common feature between our projects is using natural language to annotate natural language. This results in interpretable structures that can be annotated by non-experts at scale, which have the further advantage of being agnostic to choices of linguistic formalism.