Maytag: A Multi-staged Approach
to Identifying Complex Events in Textual Data
February 2006
Conrad Chang, The MITRE Corporation
Sean Munson, The MITRE Corporation
Lisa Ferro, The MITRE Corporation
John Gibson, The MITRE Corporation
Janet Hitzeman, The MITRE Corporation
Suzi Lubar, The MITRE Corporation
Justin Palmer, The MITRE Corporation
Marc Vilain, The MITRE Corporation
Benjamin Wellner, The MITRE Corporation
Justin Palmer, The MITRE Corporation
Sean Munson, The MITRE Corporation
Marc Vilain, The MITRE Corporation
Benjamin Wellner, The MITRE Corporation
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.
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