Algebra and pre-calculus on the HP-48G by Dan Coffin

By Dan Coffin

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NEXUS uses heuristics to preselect documents describing security-related events. The pre-selection algorithm relies on keywords, patterns matched, and statistical clues and finds the news clusters which are security-related. Next, the system tries to detect and extract the main event of each cluster via analyzing all documents in the cluster. Since the news articles refer to this main event in the title and in the first sentence, the system applies the slot-filling patterns only based on the title and the first sentence of each news article.

References to past events are captured as current events. Although there is clearly space for improvement, nexus already produces compact and structured event descriptions with satisfactory quality - potentially useful for political analysts. Some evaluation figures are presented later in Sect. 3 Pattern Matching Engine Recently, several high-level specification languages for creating IE patterns have been developed. The widely-known GATE platform which has been heavily exploited in the last years for construction of IE systems comes with JAPE (Java Annotation Pattern Engine) [5] for the development of IE grammars.

Discovering sub-events of the main event and incidents which are part of it. Clearly such structure would provide a more meaningful information for discovering complex patterns by an inference apparatus on higher strata. Finally, some work on improving the coverage of preprocessing modules is planed. One future application that uses the automatically extracted information about violent events can be a so-called “Knowledge Base for Violent Events”. Such a knowledge base includes a “Violent Events Ontology” to describe the formal model (the concept) of violent events, whereas the automatically extracted information provides the real world data.

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