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

arXiv: https://arxiv.org/abs/1707.07086 · HTML: https://mlsanity.com/paper/1707.07086/

## Key facts

- Cited by 9 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 22 Jul 2017.

## Built on by (most cited first, 9 of 9)

- [Corpus-Level Evaluation for Event QA: The IndiaPoliceEvents Corpus Covering the 2002 Gujarat Violence](https://mlsanity.com/paper/2105.12936/) (2021)
- [To Protect and To Serve? Analyzing Entity-Centric Framing of Police Violence](https://mlsanity.com/paper/2109.05325/) (2021)
- [Text-based NP Enrichment](https://mlsanity.com/paper/2109.12085/) (2021)
- [Knodle: Modular Weakly Supervised Learning with PyTorch](https://mlsanity.com/paper/2104.11557/) (2021)
- ["A Tale of Two Movements": Identifying and Comparing Perspectives in #BlackLivesMatter and #BlueLivesMatter Movements-related Tweets using Weakly Supervised Graph-based Structured Prediction](https://mlsanity.com/paper/2310.07155/) (2023)
- [Combining Probabilistic Logic and Deep Learning for Self-Supervised Learning](https://mlsanity.com/paper/2107.12591/) (2021)
- [WeaNF: Weak Supervision with Normalizing Flows](https://mlsanity.com/paper/2204.13409/) (2022)
- [Extracting Victim Counts from Text](https://mlsanity.com/paper/2302.12367/) (2023)
- [Bridging Human Interpretation and Machine Representation: A Landscape of Qualitative Data Analysis in the LLM Era](https://mlsanity.com/paper/2601.11739/) (2026)

## Abstract (arXiv)

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 cases faster than one of the major manually-collected police fatality databases.