Chiasmus Detection Library

This is a library to detect chiasmi. It is based on the paper "Data-Driven Detection of General Chiasmi Using Lexical and Semantic Features".

Run run.sh to run the example script. This script will download the required files and run the model.

Prerequisites

• python3
• spacy
• torch
• tqdm

Install them with pip install spacy torch tqdm lxml

With Virtual env

If you use virtual env you can directly run these commands:

cd path/to/chiasmus-detector
python3 -m venv chiasmus_env
source chiasmus_env/bin/activate
pip install -r requirements.txt
bash run.sh

Citation

If you use this implementation in your work, please cite:

@inproceedings{schneider-etal-2021-data,
    title = "Data-Driven Detection of General Chiasmi Using Lexical and Semantic Features",
    author = {Schneider, Felix  and
      Barz, Bj{\"o}rn  and
      Brandes, Phillip  and
      Marshall, Sophie  and
      Denzler, Joachim},
    booktitle = "Proceedings of the 5th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature",
    month = nov,
    year = "2021",
    address = "Punta Cana, Dominican Republic (online)",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2021.latechclfl-1.11",
    doi = "10.18653/v1/2021.latechclfl-1.11",
    pages = "96--100",
}