Identifying civilians killed by police with distantly supervised entity-event extraction

Katherine Keith, Abram Handler, Michael Pinkham, Cara Magliozzi, Joshua McDuffie, Brendan O'Connor
2017 Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing  
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 some
more » ... ctim names in some cases faster than one of the major manually-collected police fatality databases. Appendix, software, and data are available online at:
doi:10.18653/v1/d17-1163 dblp:conf/emnlp/KeithHPMMO17 fatcat:zgic3gghfva3rm37rya3s4cmvy