tailieunhanh - Báo cáo khoa học: "A multi-staged approach to identifying complex events in textual data"

We present a novel application of NLP and text mining to the analysis of financial documents. In particular, we describe an implemented prototype, Maytag, which combines information extraction and subject classification tools in an interactive exploratory framework. We present experimental results on their performance, as tailored to the financial domain, and some forward-looking extensions to the approach that enables users to specify classifications on the fly. | Maytag A multi-staged approach to identifying complex events in textual data Conrad Chang Lisa Ferro John Gibson Janet Hitzeman Suzi Lubar Justin Palmer Sean Munson Marc Vilain and Benjamin Wellner The MITRE Corporation 202 Burlington Rd. Bedford MA 01730 USA contact mbv@ Vilain Abstract We present a novel application of NLP and text mining to the analysis of financial documents. In particular we describe an implemented prototype Maytag which combines information extraction and subject classification tools in an interactive exploratory framework. We present experimental results on their performance as tailored to the financial domain and some forward-looking extensions to the approach that enables users to specify classifications on the fly. 1 Introduction Our goal is to support the discovery of complex events in text. By complex events we mean events that might be structured out of multiple occurrences of other events or that might occur over a span of time. In financial analysis the domain that concerns us here an example of what we mean is the problem of understanding corporate acquisition practices. To gauge a company s modus operandi in acquiring other companies it isn t enough to know just that an acquisition occurred but it may also be important to understand the degree to which it was debt-leveraged or whether it was p erformed through reciprocal stock exchanges. In other words complex events are often composed of multiple facets beyond the basic event itself. One of our concerns is therefore to enable end users to access complex events through a combination of their possible facets. Another key characteristic of rich domains like financial analysis is that facts and events are subject to interpretation in context. To a financial analyst it makes a difference whether a multi-million-dollar loss occurs in the context of recurring operations a potentially chronic problem or in the context of a one-time event such as a merger or layoff. A second .

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