C-HTS: A Concept-based Hierarchical Text Segmentation approach
Mostafa Bayomi, Séamus Lawless
ADAPT Centre, Knowledge and Data Engineering Group,
School of Computer Science and Statistics, Trinity College Dublin, Dublin, Ireland
bayomim@tcd.ie, seamus.lawless@scss.tcd.ie
This is an implementatio for C-HTS algorithm
You need to download the concept space data files from here: https://goo.gl/JZhEvm. There is a documentation in this link on how to make MongoDB pointing to the concept space.
The code is documented in general. Each class and each method has a full explanation on what it really does.
Please cite our paper if you publish material based on this code or dataset.
@InProceedings{BAYOMI18.806,
author = {Mostafa Bayomi and Seamus Lawless},
title = {C-HTS: A Concept-based Hierarchical Text Segmentation approach},
booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)},
year = {2018},
month = {may},
date = {7-12},
location = {Miyazaki, Japan},
editor = {Nicoletta Calzolari (Conference chair) and Khalid Choukri and Christopher Cieri and Thierry Declerck and Sara Goggi and Koiti Hasida and Hitoshi Isahara and Bente Maegaard and Joseph Mariani and Hélène Mazo and Asuncion Moreno and Jan Odijk and Stelios Piperidis and Takenobu Tokunaga},
publisher = {European Language Resources Association (ELRA)},
address = {Paris, France},
isbn = {979-10-95546-00-9},
language = {english}
}