Abstract
In this paper, we describe the Circumstantial Event Ontology (CEO), a newly developed ontology for calamity events that models semantic circumstantial relations between event classes, where we define circumstantial as inferred implicit causal relations. The circumstantial relations are inferred from the assertions of the event classes that involve a change to the same property of a participant. Our model captures that the change yielded by one event, explains to people the happening of the next event when observed. We describe the meta model and the contents of the ontology, the creation of a manually annotated corpus for circumstantial relations based on ECB+ and the first results on the evaluation of the ontology.
Original language | English |
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Title of host publication | LREC 2018 - 11th International Conference on Language Resources and Evaluation |
Editors | Hitoshi Isahara, Bente Maegaard, Stelios Piperidis, Christopher Cieri, Thierry Declerck, Koiti Hasida, Helene Mazo, Khalid Choukri, Sara Goggi, Joseph Mariani, Asuncion Moreno, Nicoletta Calzolari, Jan Odijk, Takenobu Tokunaga |
Publisher | European Language Resources Association (ELRA) |
Pages | 4585-4592 |
Number of pages | 8 |
ISBN (Electronic) | 9791095546009 |
Publication status | Published - 2019 |
Event | 11th International Conference on Language Resources and Evaluation, LREC 2018 - Miyazaki, Japan Duration: 7 May 2018 → 12 May 2018 |
Conference
Conference | 11th International Conference on Language Resources and Evaluation, LREC 2018 |
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Country/Territory | Japan |
City | Miyazaki |
Period | 7/05/18 → 12/05/18 |
Keywords
- Annotated Corpora
- Causality
- Event Chaining
- Event Modeling
- Ontology
- Semantic Role Labeling
- Text Mining