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• W2849292054 abstract "Commonsense, real-world knowledge about the events that entities or “things in the world” are typically involved in, as well as part-whole relationships, is valuable for allowing computational systems to draw everyday inferences about the world. Here, we focus on automatically extracting information about (1) the events that typically bring about certain entities (origins), (2) the events that are the typical functions of entities, and (3) part-whole relationships in entities. These correspond to the agentive, telic and constitutive qualia central to the Generative Lexicon. We describe our motivations and methods for extracting these qualia relations from the Suggested Upper Merged Ontology (SUMO) and show that human annotators overwhelmingly find the information extracted to be reasonable. Because ontologies provide a way of structuring this information and making it accessible to agents and computational systems generally, efforts are underway to incorporate the extracted information to an ontology hub of Natural Language Processing semantic role labeling resources, the Rich Event Ontology." @default.
• W2849292054 created "2018-07-19" @default.
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• W2849292054 date "2018-08-01" @default.
• W2849292054 modified "2023-10-01" @default.
• W2849292054 title "Automatically Extracting Qualia Relations for the Rich Event Ontology" @default.
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• W2849292054 hasPublicationYear "2018" @default.
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