A Domain-Adapted Pipeline for Structured Information Extraction from Police Incident Announcements on Social Media

This article describes a research paper focused on a specific application of information extraction: analyzing police incident announcements on social media. The domain adaptation aspect suggests the authors are addressing the challenges of applying general-purpose information extraction techniques to a specialized dataset. The use of a pipeline implies a multi-stage process, likely involving techniques like named entity recognition, relation extraction, and event extraction. The focus on social media data introduces challenges related to noise, informal language, and the need for real-time processing.