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We propose a new, socially-impactful task for natural language processing: from a news corpus, extract names of persons who have been killed by police. We present a newly collected police fatality corpus, which we release publicly, and present a model to solve this problem that uses EM-based distant supervision with logistic regression and convolutional neural network classifiers. Our model outperforms two off-the-shelf event extractor systems, and it can suggest candidate victim names in somedoi:10.18653/v1/d17-1163 dblp:conf/emnlp/KeithHPMMO17 fatcat:zgic3gghfva3rm37rya3s4cmvy