Extracting Structured Information via Automatic + Human Computation

2015-11-12

Proceedings of the AAAI Conference on Human Computation and Crowdsourcing, 3

Volume

Vol. 3 (2015): Third AAAI Conference on Human Computation and Crowdsourcing

Works in Progress

We present a system for extracting structured information from unstructured text using a combination of information retrieval, natural language processing, machine learning, and crowdsourcing. We test our pipeline by building a structured database of gun violence incidents in the United States. The results of our pilot study demonstrate that the proposed methodology is a viable way of collecting large-scale, up-to-date data for public health, public policy, and social science research.

10.1609/hcomp.v3i1.13253