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Automated extraction of named entities is an important text analysis task. In addition to recognizing the occurrence of entity names, it is important to be able to label those names by type. Most entity extraction techniques categorize extracted entities into a few basic types, such as PERSON, ORGANIZATION, and LOCATION. This paper presents an approach for generating more fine-grained subdivisions...
The Asymmetric Threat Response and Analysis Program (ATRAP) is a software system for intelligence fusion, visualization, reasoning, and prediction. ATRAP consists of a set of tools for annotating and automatically extracting entities and relationships from documents, visualizing this information in relational, geographic, and temporal dimensions, and determining future courses of action of adversaries...
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