Bootstrapped Text-level Named Entity Recognition for Literature
Julian Brooke, Adam Hammond, Timothy J. Baldwin · 2016
We present a named entity recognition (NER) system for tagging fiction: LitNER.Relative to more traditional approaches, LitNER has two important properties: (1) it makes no use of handtagged data or gazetteers, instead it bootstraps a model from term clusters; and (2) it leverages multiple instances of the same name in a text.Our experiments show it to substantially outperform off-the-shelf supervised NER systems.