Code for the paper Classifying Organizations for Food System Ontologies using Natural Language Processing (IFOW 2023).
This project is built on python==3.8.5, torch=1.5.1, transformers==2.9.0.
First untar the compressed data file under
sic_code_classification/data/sic_code/
by
ls *.tar.gz | xargs -i tar -xzvf {}
Then under either environmental_issues_classification/ or sic_code_classification/ folder, run
bash train.sh
For questions and issues, please contact riloff@cs.utah.edu
or tianyu.jiang@uc.edu
. Our paper can be cited as:
@inproceedings{jiang-et-al-2023-organization,
title="{Classifying Organizations for Food System Ontologies using Natural Language Processing}",
author={Jiang, Tianyu and Vinogradova, Sonia and Stringham, Nathan and Earl, E. Louise and Hollander, Allan D. and Huber, Patrick R. and
Riloff, Ellen and Schillo, R. Sandra and Ubbiali, Giorgio A. and Lange, Matthew},
maintitle = {Formal Ontology in Information Systems Conference (FOIS 2023)},
booktitle={The fourth annual Integrated Food Ontology Workshop (IFOW 2023)},
year={2023}
}
This research was supported in part by the ICICLE project through NSF award OAC 2112606 and the Canadian Institutes of Health Research FRN 177412.