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    <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.</abstract>
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%0 Conference Proceedings
%T Automatically Extracting Qualia Relations for the Rich Event Ontology
%A Kazeminejad, Ghazaleh
%A Bonial, Claire
%A Brown, Susan Windisch
%A Palmer, Martha
%Y Bender, Emily M.
%Y Derczynski, Leon
%Y Isabelle, Pierre
%S Proceedings of the 27th International Conference on Computational Linguistics
%D 2018
%8 August
%I Association for Computational Linguistics
%C Santa Fe, New Mexico, USA
%F kazeminejad-etal-2018-automatically
%X 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.
%U https://aclanthology.org/C18-1224
%P 2644-2652

Markdown (Informal)

[Automatically Extracting Qualia Relations for the Rich Event Ontology](https://aclanthology.org/C18-1224) (Kazeminejad et al., COLING 2018)

• Automatically Extracting Qualia Relations for the Rich Event Ontology (Kazeminejad et al., COLING 2018)

ACL

• Ghazaleh Kazeminejad, Claire Bonial, Susan Windisch Brown, and Martha Palmer. 2018. Automatically Extracting Qualia Relations for the Rich Event Ontology. In Proceedings of the 27th International Conference on Computational Linguistics, pages 2644–2652, Santa Fe, New Mexico, USA. Association for Computational Linguistics.