Abstract
Language of cause and effect captures an essential component of the semantics of a text. However, causal language is also intertwined with other semantic relations, such as temporal precedence and correlation. This makes it difficult to determine when causation is the primary intended meaning. This paper presents BECauSE 2.0, a new version of the BECauSE corpus with exhaustively annotated expressions of causal language, but also seven semantic relations that are frequently co-present with causation. The new corpus shows high inter-annotator agreement, and yields insights both about the linguistic expressions of causation and about the process of annotating co-present semantic relations.- Anthology ID:
- W17-0812
- Volume:
- Proceedings of the 11th Linguistic Annotation Workshop
- Month:
- April
- Year:
- 2017
- Address:
- Valencia, Spain
- Venue:
- LAW
- SIG:
- SIGANN
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 95–104
- Language:
- URL:
- https://aclanthology.org/W17-0812
- DOI:
- 10.18653/v1/W17-0812
- Cite (ACL):
- Jesse Dunietz, Lori Levin, and Jaime Carbonell. 2017. The BECauSE Corpus 2.0: Annotating Causality and Overlapping Relations. In Proceedings of the 11th Linguistic Annotation Workshop, pages 95–104, Valencia, Spain. Association for Computational Linguistics.
- Cite (Informal):
- The BECauSE Corpus 2.0: Annotating Causality and Overlapping Relations (Dunietz et al., LAW 2017)
- PDF:
- https://preview.aclanthology.org/ingestion-script-update/W17-0812.pdf
- Code
- duncanka/BECauSE