In this work, we use crowdsourcing to generate evaluation data to validate simple techniques designed to adapt a widely-used high-performing named entity recognition system to new domains.
we achieve a roughly 10% improvement in precision on text from the information technology (IT) business press via post hoc rule-based error reduction.