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A Risk Assessment System with Automatic Extraction of Event Types

Abstract : 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.
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https://hal-upec-upem.archives-ouvertes.fr/hal-00636895
Contributor : Takuya Nakamura <>
Submitted on : Friday, October 28, 2011 - 3:56:19 PM
Last modification on : Wednesday, February 26, 2020 - 7:06:06 PM
Long-term archiving on: : Monday, January 30, 2012 - 11:18:12 AM

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  • HAL Id : hal-00636895, version 1

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P. Capet, T. Delavallade, Takuya Nakamura, A. Sandor, C. Tarsitano, et al.. A Risk Assessment System with Automatic Extraction of Event Types. 5th IFIP International Conference on Intelligent Information Processing, Oct 2008, Beijin, China. pp.220-229. ⟨hal-00636895⟩

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