Human Schema Curation via Causal Association Rule Mining
Noah Weber, Anton Belyy, Nils Holzenberger, Rachel Rudinger, Benjamin Van Durme
Abstract
Event schemas are structured knowledge sources defining typical real-world scenarios (e.g., going to an airport). We present a framework for efficient human-in-the-loop construction of a schema library, based on a novel script induction system and a well-crafted interface that allows non-experts to “program” complex event structures. Associated with this work we release a schema library: a machine readable resource of 232 detailed event schemas, each of which describe a distinct typical scenario in terms of its relevant sub-event structure (what happens in the scenario), participants (who plays a role in the scenario), fine-grained typing of each participant, and the implied relational constraints between them. We make our schema library and the SchemaBlocks interface available online.- Anthology ID:
- 2022.law-1.17
- Volume:
- Proceedings of the 16th Linguistic Annotation Workshop (LAW-XVI) within LREC2022
- Month:
- June
- Year:
- 2022
- Address:
- Marseille, France
- Editors:
- Sameer Pradhan, Sandra Kuebler
- Venue:
- LAW
- SIG:
- SIGANN
- Publisher:
- European Language Resources Association
- Note:
- Pages:
- 139–150
- Language:
- URL:
- https://aclanthology.org/2022.law-1.17
- DOI:
- Cite (ACL):
- Noah Weber, Anton Belyy, Nils Holzenberger, Rachel Rudinger, and Benjamin Van Durme. 2022. Human Schema Curation via Causal Association Rule Mining. In Proceedings of the 16th Linguistic Annotation Workshop (LAW-XVI) within LREC2022, pages 139–150, Marseille, France. European Language Resources Association.
- Cite (Informal):
- Human Schema Curation via Causal Association Rule Mining (Weber et al., LAW 2022)
- PDF:
- https://preview.aclanthology.org/naacl24-info/2022.law-1.17.pdf
- Code
- AVBelyy/SchemaBlocks
- Data
- FrameNet