This folder contains the code for the paper.
conda create --name <env> --file requirements.txt
The data is available at "ud-treebanks-v2.xx", which can be downloaded from here. We use this data to generate all the data we need.
Run the following command one by one to generate the data we need.
python src/nltk_gen.py
python src/stanza_gen.py
python src/conllu2txt.pyNote: The src/conllu2txt.py should only be executed after the src/nltk_gen.py and src/stanza_gen.py are executed, and can only be executed once. If you want to re-generate the data, please delete the data/txt-gold and data/txt-stanza folders first.
The algorithm is implemented in the src/jp_algorithm.py
src/evaluate.ipynb
Eunkyul Leah Jo, Angela Yoonseo Park, Grace Tianjiao Zhang, Izia Xiaoxiao Wang, Junrui Wang, MingJia Mao, and Jungyeul Park. 2024. An Untold Story of Preprocessing Task Evaluation: An Alignment-based Joint Evaluation Approach. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 1327–1338, Torino, Italy. ELRA and ICCL.
@inproceedings{jo-etal-2024-untold-story,
title = "An Untold Story of Preprocessing Task Evaluation: An Alignment-based Joint Evaluation Approach",
author = "Jo, Eunkyul Leah and
Park, Angela Yoonseo and
Zhang, Grace Tianjiao and
Wang, Izia Xiaoxiao and
Wang, Junrui and
Mao, MingJia and
Park, Jungyeul",
editor = "Calzolari, Nicoletta and
Kan, Min-Yen and
Hoste, Veronique and
Lenci, Alessandro and
Sakti, Sakriani and
Xue, Nianwen",
booktitle = "Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)",
month = may,
year = "2024",
address = "Torino, Italy",
publisher = "ELRA and ICCL",
url = "https://aclanthology.org/2024.lrec-main.119",
pages = "1327--1338",
}