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A Risk Assessment System with Automatic Extraction of Event Types

2008; Springer Science+Business Media; Linguagem: Inglês

10.1007/978-0-387-87685-6_27

1861-2288

Philippe Capet, Thomas Delavallade, Takuya Nakamura, Attila D. Sándor, Cedric Tarsitano, Stavroula Voyatzi,

Topic Modeling

In this article we describe the joint effort of experts in linguistics, information extraction and risk assessment to integrate EventSpotter, an automatic event extraction engine, into ADAC, an automated early warning system. By detecting as early as possible weak signals of emerging risks ADAC provides a dynamic synthetic picture of situations involving risk. The ADAC system calculates risk on the basis of fuzzy logic rules operated on a template graph whose leaves are event types. EventSpotter is based on a general purpose natural language dependency parser, XIP, enhanced with domain-specific lexical resources (Lexicon-Grammar). Its role is to automatically feed the leaves with input data.