This project will develop an automated reader for large text archives of human rights abuses that will reconstruct stories from fragments scattered across a collection, and an interface for navigating those stories.  By improving on anaphora resolution techniques in Natural Language Processing for the connection of pronouns to specific nouns, this system will help researchers and courts reveal witnesses and patterns contained in their own collections.