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Natural Language Annotation for Machine Learning
book

Natural Language Annotation for Machine Learning

by James Pustejovsky, Amber Stubbs
October 2012
Beginner to intermediate
342 pages
9h 55m
English
O'Reilly Media, Inc.
Content preview from Natural Language Annotation for Machine Learning

Appendix D. MAI User Guide

MAI (Multidocument Adjudication Interface) was created as a companion program to the annotation tool MAE (Multipurpose Annotation Environment). MAI was written by Amber Stubbs, and is provided free for use from http://code.google.com/p/mai-adjudication/. While many other annotation and adjudication tools are available for use, MAI was designed specifically for use in adjudicating the output from MAE, and so we are providing the user guide here for those readers who would like to start annotating and adjudicating right away.

Input to MAI is in the form of annotated stand-off XML files that are the output of MAE, as well as the DTD file used to create the annotations. Sample files are included with the MAI distribution, and instructions for adjudicating annotated files are included in this appendix. MAI 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).

MAI 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 ...

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Publisher Resources

ISBN: 9781449332693Errata