thagen/AltLex

This repository integrates the AltLex corpus into hf datasets. Please find the original dataset here. We used the UniCausal reformatting of the data as the basis for this repository. Please see the citations at the end of this README.

Usage

Causality Detection

from datasets import load_dataset
dataset = load_dataset("thagen/AltLex", "causality detection")

Causal Candidate Extraction

from datasets import load_dataset
dataset = load_dataset("thagen/AltLex", "causal candidate extraction")

Causality Identification

from datasets import load_dataset
dataset = load_dataset("thagen/AltLex", "causality identification")

Citations

The AltLex paper by Hidey and McKeown, 2016:

@inproceedings{hidey:2016,
  title = {Identifying Causal Relations Using Parallel {Wikipedia} Articles},
  booktitle = {Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
  author = {Hidey, Christopher and McKeown, Kathleen},
  year = {2016},
  pages = {1424--1433},
  publisher = {Association for Computational Linguistics},
  doi = {10.18653/v1/P16-1135}
}

UniCausal by Tan et al., 2023 — who's dataformat we used to make AltLex compatible with hf datasets:

@inproceedings{tan:2023,
  title = {{{UniCausal}}: {{Unified Benchmark}} and {{Repository}} for {{Causal Text Mining}}},
  shorttitle = {{{UniCausal}}},
  booktitle = {Big {{Data Analytics}} and {{Knowledge Discovery}} - 25th {{International Conference}}, {{DaWaK}} 2023, {{Penang}}, {{Malaysia}}, {{August}} 28-30, 2023, {{Proceedings}}},
  author = {Tan, Fiona Anting and Zuo, Xinyu and Ng, See-Kiong},
  editor = {Wrembel, Robert and Gamper, Johann and Kotsis, Gabriele and Tjoa, A. Min and Khalil, Ismail},
  year = {2023},
  series = {Lecture {{Notes}} in {{Computer Science}}},
  volume = {14148},
  pages = {248--262},
  publisher = {Springer},
  doi = {10.1007/978-3-031-39831-5_23}
}