Maytag: a multi-staged approach to identifying complex events in textual data

Authors:
Conrad Chang;Lisa Ferro;John Gibson;Janet Hitzeman;Suzi Lubar;Justin Palmer;Sean Munson;Marc Vilain;Benjamin Wellner
Affiliations:
The MITRE Corporation, Bedford, MA;The MITRE Corporation, Bedford, MA;The MITRE Corporation, Bedford, MA;The MITRE Corporation, Bedford, MA;The MITRE Corporation, Bedford, MA;The MITRE Corporation, Bedford, MA;The MITRE Corporation, Bedford, MA;The MITRE Corporation, Bedford, MA;The MITRE Corporation, Bedford, MA
Venue:
EACL '06 Proceedings of the Eleventh Conference of the European Chapter of the Association for Computational Linguistics: Posters & Demonstrations
Year:
2006

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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.