@inproceedings{0c7c9a82a40f4dfb9927dc7e2008fdd1,
title = "Human Schema Curation via Causal Association Rule Mining",
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.",
keywords = "annotation interfaces, dataset curation, schemas, script induction",
author = "Noah Weber and Anton Belyy and Nils Holzenberger and Rachel Rudinger and \{Van Durme\}, Benjamin",
note = "Publisher Copyright: {\textcopyright} 2022 European Language Resources Association (ELRA).; 16th Linguistic Annotation Workshop, LAW 2022 ; Conference date: 24-06-2022",
year = "2022",
month = jan,
day = "1",
language = "English",
series = "Proceedings of the 16th Linguistic Annotation Workshop, LAW 2022 - held in conjunction with the Language Resources and Evaluation Conference, LREC 2022 Workshop",
publisher = "European Language Resources Association (ELRA)",
pages = "139--150",
editor = "Sameer Pradhan and Sandra Kubler",
booktitle = "Proceedings of the 16th Linguistic Annotation Workshop, LAW 2022 - held in conjunction with the Language Resources and Evaluation Conference, LREC 2022 Workshop",
}