Information Extraction Based Multiple-Category Document Classification for the Global Legal Information Network
Abstract
This paper describes a prototype application of an information extraction (IE) based document classification system in the international law domain. IE is used to determine if a set of concepts for a class are present in a document. The syntactic and semantic constraints that must be satisfied to make this determination are derived automatically from a training corpus. A collection of IE systems are arranged in a classification hierarchy and novel documents are guided down the hierarchy based on the results from the previous level. Experimental results for a research prototype are given on a subset of the Global Legal Information Network domain.
Cite
Text
Holowczak and Adam. "Information Extraction Based Multiple-Category Document Classification for the Global Legal Information Network." AAAI Conference on Artificial Intelligence, 1997.Markdown
[Holowczak and Adam. "Information Extraction Based Multiple-Category Document Classification for the Global Legal Information Network." AAAI Conference on Artificial Intelligence, 1997.](https://mlanthology.org/aaai/1997/holowczak1997aaai-information/)BibTeX
@inproceedings{holowczak1997aaai-information,
title = {{Information Extraction Based Multiple-Category Document Classification for the Global Legal Information Network}},
author = {Holowczak, Richard D. and Adam, Nabil R.},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {1997},
pages = {1013-1018},
url = {https://mlanthology.org/aaai/1997/holowczak1997aaai-information/}
}