Paper: Hunting for the Black Swan: Risk Mining from Text

ACL ID P10-4010
Title Hunting for the Black Swan: Risk Mining from Text
Venue Annual Meeting of the Association of Computational Linguistics
Session System Demonstration
Year 2010
Authors

In the business world, analyzing and dealing with risk permeates all decisions and actions. However, to date, risk identification, the first step in the risk management cycle, has always been a manual activ- ity with little to no intelligent software tool support. In addition, although companies are required to list risks to their business in their annual SEC filings in the USA, these descriptions are often very high- level and vague. In this paper, we introduce Risk Mining, which is the task of identifying a set of risks pertaining to a business area or entity. We argue that by combining Web mining and Information Extraction (IE) tech- niques, risks can be detected automatically before they materialize, thus providing valuable business intelligence. We describe a system that induces a ris...