Predicting Directionality in Causal Relations in Text
Paper • 2103.13606 • Published
This repository integrates the EventCausality 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.
from datasets import load_dataset
dataset = load_dataset("thagen/EventCausality", "causality detection")
from datasets import load_dataset
dataset = load_dataset("thagen/EventCausality", "causal candidate extraction")
from datasets import load_dataset
dataset = load_dataset("thagen/EventCausality", "causality identification")
The EventCausality paper by Do et al., 2011:
@inproceedings{do:2011,
title = {Minimally {{Supervised Event Causality Identification}}},
booktitle = {Proceedings of the 2011 {{Conference}} on {{Empirical Methods}} in {{Natural Language Processing}}, {{EMNLP}} 2011, 27-31 {{July}} 2011, {{John McIntyre Conference Centre}}, {{Edinburgh}}, {{UK}}, {{A}} Meeting of {{SIGDAT}}, a {{Special Interest Group}} of the {{ACL}}},
author = {Do, Quang and Chan, Yee Seng and Roth, Dan},
year = {2011},
pages = {294--303},
publisher = {ACL},
urldate = {2026-01-05}
}
CREST by Hosseini et al., 2021 — whose aggregation we used to source the EventCausality 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}
}