Natural Language Annotation for Machine Learning

Appendix C. MAE User Guide

MAE (Multipurpose Annotation Environment) was written by Amber Stubbs, and is provided free for use from http://code.google.com/p/mae-annotation/. Although many other annotation tools are available for use, MAE provides a simple interface that requires little setup, and so we are providing the user guide here for those readers who would like to start annotating right away.

Input to MAE is in the form of DTD-like files that describe the task name, elements, and attributes. A sample task definition is included with the MAE distribution, and instructions for creating your own tasks are included in this appendix. MAE was written in Java on an Ubuntu Linux system, and has been tested on Windows XP, Windows 7, and Mac OS X. It uses the SQLiteJDBC Java driver (more information is available at https://github.com/crawshaw/sqlitejdbc).

MAE is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but without any warranty; without even the implied warranty of merchantability or fitness for a particular purpose. See the GNU General Public License for more details (http://www.gnu.org/licenses/).

Installing and Running MAE

MAE requires Java to run. On Windows and Unix systems, it should be used with the most recent version of Java 6 (it ...