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arXiv · 2104.08811

Human Schema Curation via Causal Association Rule Mining

Noah Weber·Anton Belyy·Nils Holzenberger·Rachel Rudinger·Benjamin Van Durme
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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.

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Noah Weber, Anton Belyy, Nils Holzenberger, Rachel Rudinger, Benjamin Van Durme. 2021-04-18. Human Schema Curation via Causal Association Rule Mining. https://arxiv.org/abs/2104.08811

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