Extracting Meaningful Entities from Police Narrative Reports

  title={Extracting Meaningful Entities from Police Narrative Reports},
  author={Michael Chau and Jennifer Jie Xu and Hsinchun Chen},
Valuable criminal-justice data in free texts such as police narrative reports are currently difficult to be accessed and used by intelligence investigators in crime analyses. It would be desirable to automatically identify from text reports meaningful entities, such as person names, addresses, narcotic drugs, or vehicle names to facilitate crime investigation. In this paper, we report our work on a neural network-based entity extractor, which applies named-entity extraction techniques to… CONTINUE READING
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