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.
@article{arxiv.2104.08811,
title = {Human Schema Curation via Causal Association Rule Mining},
author = {Noah Weber and Anton Belyy and Nils Holzenberger and Rachel Rudinger and Benjamin Van Durme},
journal= {arXiv preprint arXiv:2104.08811},
year = {2022}
}