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        <title>Human Schema Curation via Causal Association Rule Mining</title>
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        <namePart type="given">Benjamin</namePart>
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            <title>Proceedings of the 16th Linguistic Annotation Workshop (LAW-XVI) within LREC2022</title>
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            <namePart type="given">Sameer</namePart>
            <namePart type="family">Pradhan</namePart>
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            <namePart type="given">Sandra</namePart>
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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.</abstract>
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        <url>https://aclanthology.org/2022.law-1.17</url>
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%0 Conference Proceedings
%T Human Schema Curation via Causal Association Rule Mining
%A Weber, Noah
%A Belyy, Anton
%A Holzenberger, Nils
%A Rudinger, Rachel
%A Van Durme, Benjamin
%Y Pradhan, Sameer
%Y Kuebler, Sandra
%S Proceedings of the 16th Linguistic Annotation Workshop (LAW-XVI) within LREC2022
%D 2022
%8 June
%I European Language Resources Association
%C Marseille, France
%F weber-etal-2022-human
%X 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.
%U https://aclanthology.org/2022.law-1.17
%P 139-150

Markdown (Informal)

[Human Schema Curation via Causal Association Rule Mining](https://aclanthology.org/2022.law-1.17) (Weber et al., LAW 2022)

• Human Schema Curation via Causal Association Rule Mining (Weber et al., LAW 2022)

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.