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thagen/CNCv2

[!NOTE] This repository integrates the "V2" release of the Causal News Corpus (CNC) — published as RECESS — into hf datasets. Please find the original dataset here. This is the actively-maintained release the maintainers recommend using ("For 2023 Shared Task, please use V2"), with far richer span annotations (2257 causal relations) than CNC, the original 2022 release (183 causal relations) — kept as its own separate dataset for comparison rather than silently overwritten. Please see the… See the full description on the dataset page: https://huggingface.co/datasets/thagen/CNCv2.

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Dataset Card
[!NOTE] This repository integrates the "V2" release of the Causal News Corpus (CNC) — published as RECESS — into hf datasets. Please find the original dataset here. This is the actively-maintained release the maintainers recommend using ("For 2023 Shared Task, please use V2"), with far richer span annotations (2257 causal relations) than CNC, the original 2022 release (183 causal relations) — kept as its own separate dataset for comparison rather than silently overwritten. Please see the citations at the end of this README.

Dataset Description

Usage

Causality Detection

py
from datasets import load_dataset
dataset = load_dataset("thagen/CausalNewsCorpusV2", "causality detection")

Causal Candidate Extraction

py
from datasets import load_dataset
dataset = load_dataset("thagen/CausalNewsCorpusV2", "causal candidate extraction")

Causality Identification

py
from datasets import load_dataset
dataset = load_dataset("thagen/CausalNewsCorpusV2", "causality identification")

Citations

This "V2" release is published as RECESS, Tan et al., 2023:

bib
@inproceedings{tan-etal-2023-recess,
  title = {{RECESS}: Resource for Extracting Cause, Effect, and Signal Spans},
  booktitle = {Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)},
  author = {Tan, Fiona Anting and Hettiarachchi, Hansi and H{\"u}rriyeto{\u{g}}lu, Ali and Oostdijk, Nelleke and Caselli, Tommaso and Nomoto, Tadashi and Uca, Onur and Liza, Farhana Ferdousi and Ng, See-Kiong},
  year = {2023},
  address = {Nusa Dua, Bali},
  publisher = {Association for Computational Linguistics},
  pages = {66--82}
}

The original Causal News Corpus paper by Tan et al., 2022:

bib
@inproceedings{tan:2022,
  title = {The Causal News Corpus: Annotating Causal Relations in Event Sentences},
  booktitle = {Proceedings of the 13th Language Resources and Evaluation Conference},
  author = {Tan, Fiona Anting and Ng, See-Kiong and Ong, Alifia Reina},
  year = {2022},
  pages = {2298--2310},
  publisher = {European Language Resources Association}
}