Luheng is a research scientist at Google AI Language. She finished her Ph.D. at the University of Washington, advised by Luke Zettlemoyer. Her research focuses on semantic role labeling (SRL) and explores other NLP structured prediction problems. She built DeepSRL, a BiLSTM-based neural SRL model for PropBank. She also introduced QA-SRL, a question-answer based SRL annotation scheme that allows us to gather SRL data from annotators without linguistic training.