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CEO: The Circumstantial Event Ontology.

This repository contains the Circumstantial Event Ontology (CEO). This is version 1.0 (stable).

Resource Description

The Circumstantial Event Ontology (CEO.owl), is a manually constructed resource which formalizes the pre-, during-, and post-situations of events and the roles of the entities affected by an event. Further, it allows to infer circumstantial relations between events in natural language text. A circumstantial relation is defined here as an implicit and weakly causal relation. For instance, events pertaining to class A and event B can happen independently, but if they appear in context, a circumstantial relation is inferred based on shared properties in the class assertions.

Example: "Three months ago she arsoned her ex-husband stables. She was arrested soon after; the historical buildings are currently being restored by an expert builder." For a human reader, it is clear that 'arson', 'arrest' and 'restoration' are causally related in this context. However, there are no clues in these sentences that explicitly connect them. Our system, based on the CEO ontology, infers exactly these implicit relations. It does not define explicitly that e.g. 'arson' causes 'restoration' as the relation is plausible but certainly not necessary; therefore the ontology is designed to infer it. In the case of ceo:Arson we defined e.g. that after some arson there is damage. And before some restoration takes place, there must be some damage. Hence, we connect the events in this sentence with a so called circumstantial relation. We have created large sets of class assertions in order to connect events based on shared and implicit semantics. As such, we can not only connect the events, but also explain why something happened. In the case of the arson and restoration example, we know that the stables were restored because they were damaged due to some arson.

Prerequisites

CEO is fully mapped to SUMO on class level and to FrameNet on class and role level. As input format, CEO can work on unannotated and unprocessed data. In this case, the model will infer circumstantial relations only based on surface forms of the event mentions. To get you started, we provided a vocabulary with event surface forms mapped to CEO classes. However, in order to employ the full inference power of the model, we advise to use processed documents with FrameNet based Semantic Role Labeling. CEO will run on top of this output.

Contents CEO

Repository Description

Resource Reference

If you use this resource, please cite: Segers, R., T.Caselli, P. Vossen (2018). “The Circumstantial Event Ontology (CEO) and ECB+/CEO; an Ontology and Corpus for Implicit Causal Relations between Events”. In: Proceedings of the 11th edition of the Language Resources and Evaluation Conference LREC, Miyazaki, Japan, May 7-12, 2018.

Contact

roxane.segers (the email symbol) gmail.com

Acknowledgements:

This work was co-funded by:

Provenance of this repository

This repository is an adapted clone of this original repository. Cloned an adapted in April 2018.

License

<a rel="license" href="http://creativecommons.org/licenses/by-sa/4.0/"><img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by-sa/4.0/88x31.png" /></a><br /><span xmlns:dct="http://purl.org/dc/terms/" property="dct:title">The Circumstantial Event Ontology(CEO)</span> by <span xmlns:cc="http://creativecommons.org/ns#" property="cc:attributionName">Roxane Segers</span> is licensed under a <a rel="license" href="http://creativecommons.org/licenses/by-sa/4.0/">Creative Commons Attribution-ShareAlike 4.0 International License</a>.<br />Based on a work at <a xmlns:dct="http://purl.org/dc/terms/" href="https://github.com/RoxaneSegers/CEO-Ontology" rel="dct:source">https://github.com/RoxaneSegers/CEO-Ontology</a>.