BioCause

Inter-sentence (whole document/section) No Polarity Signal No Strength Signal

BioCause annotates causal relations in 19 open-access biomedical research articles, providing fine-grained span-level annotations for cause and effect event mentions.

Unlike most datasets in this toolkit, each row is a whole article section, not a single sentence: some cause/effect spans reference an adjacent sentence to their trigger, which a per-sentence schema cannot represent without either dropping or corrupting them. A per-sentence view can still be derived on demand via causalatee.data.utils's sentence-splitting utilities.

Overview

Domain	Medical
Year	2013
Sentences	851
Granularity	Inter-sentence (whole document/section)

Tasks & Splits

Task	Train	Test
Causality Detection	—	—
Causal Event Candidate Extraction	—	—
Causality Identification	—	—
Causality Extraction	—	—

Data Explorer

Causality Detection

Causal Event Candidate Extraction

Causality Identification

Citation

@article{mihaila:2013,
  title      = {{{BioCause}}: {{Annotating}} and Analysing Causality in the Biomedical Domain},
  shorttitle = {{{BioCause}}},
  author     = {Mihaila, Claudiu and Ohta, Tomoko and Pyysalo, Sampo and Ananiadou, Sophia},
  year       = 2013,
  journal    = {BMC Bioinform.},
  volume     = {14},
  pages      = {2},
  doi        = {10.1186/1471-2105-14-2}
}