Claire Bonial is a computational linguist specializing in the murky world of event semantics—What’s happening? Who is doing what to whom? When? Where? Why? In her efforts to make this world computationally tractable, she has collaborated on the development of a variety of benchmark NLP machine learning training corpora that enable automatic understanding of events, including PropBank, VerbNet, and Abstract Meaning Representation. Bonial has operationalized these resources for advancements in language and situation understanding for autonomous systems. Bonial received her Ph.D. in Linguistics and Cognitive Science in 2014 from the University of Colorado Boulder and began her current position in the Computational and Information Sciences Directorate of the Army Research Laboratory in 2015.