CaTeRS
Intra-sentence No Polarity Signal No Strength Signal
CaTeRS (Causal and Temporal Relation Scheme) annotates five-sentence ROC Stories narratives with both causal and temporal event relations, enabling joint causality and timeline reasoning.
Overview
| Domain | Fiction |
| Year | 2016 |
| Sentences | 488 |
| Granularity | Intra-sentence |
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
@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},
editor = {Palmer, Martha and Hovy, Eduard H. and Mitamura, Teruko and O'Gorman, Tim},
year = 2016,
pages = {51--61},
publisher = {Association for Computational Linguistics},
doi = {10.18653/V1/W16-1007},
urldate = {2025-03-28}
}