Paper: Maytag: A Multi-Staged Approach To Identifying Complex Events In Textual Data

ACL ID E06-2012
Title Maytag: A Multi-Staged Approach To Identifying Complex Events In Textual Data
Venue Annual Meeting of The European Chapter of The Association of Computational Linguistics
Session System Demonstration
Year 2006
Authors

We present a novel application of NLP and text mining to the analysis of finan- cial documents. In particular, we de- scribe an implemented prototype, May- tag, which combines information extrac- tion and subject classification tools in an interactive exploratory framework. We present experimental results on their per- formance, as tailored to the financial do- main, and some forward-looking exten- sions to the approach that enables users to specify classifications on the fly.