thagen/CaTeRS

This repository integrates the CaTeRS corpus into hf datasets. Please find the original dataset here. The data is sourced from the CREST aggregation. Please see the citations at the end of this README.

Usage

Causality Detection

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

Causal Candidate Extraction

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

Causality Identification

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

Citations

The CaTeRS paper by Mostafazadeh et al., 2016:

@inproceedings{mostafazadeh:2016,
  title = {{{CaTeRS}}: {{Causal}} and {{Temporal Relation Scheme}} for {{Semantic Annotation}} of {{Event Structures}}},
  shorttitle = {{{CaTeRS}}},
  booktitle = {Proceedings of the {{Fourth Workshop}} on {{Events}}, {{EVENTS}}@{{HLT-NAACL}} 2016, {{San Diego}}, {{California}}, {{USA}}, {{June}} 17, 2016},
  author = {Mostafazadeh, Nasrin and Grealish, Alyson and Chambers, Nathanael and Allen, James F. and Vanderwende, Lucy},
  year = {2016},
  pages = {51--61},
  publisher = {Association for Computational Linguistics},
  doi = {10.18653/V1/W16-1007}
}

CREST by Hosseini et al., 2021 — whose aggregation we used to source the CaTeRS data:

@article{hosseini:2021,
  title = {Predicting {{Directionality}} in {{Causal Relations}} in {{Text}}},
  author = {Hosseini, Pedram and Broniatowski, David A. and Diab, Mona T.},
  year = {2021},
  journal = {CoRR},
  volume = {abs/2103.13606},
  eprint = {2103.13606},
  archiveprefix = {arXiv}
}