Abstract
This paper presents the Event and Implied Situation Ontology (ESO), a manually constructed resource which formalizes the pre and post situations of events and the roles of the entities affected by an event. The ontology is built on top of existing resources such as WordNet, SUMO and FrameNet. The ontology is injected to the Predicate Matrix, a resource that integrates predicate and role information from amongst others FrameNet, VerbNet, PropBank, NomBank and WordNet. We illustrate how these resources are used on large document collections to detect information that otherwise would have remained implicit. The ontology is evaluated on two aspects: recall and precision based on a manually annotated corpus and secondly, on the quality of the knowledge inferred by the situation assertions in the ontology. Evaluation results on the quality of the system show that 50% of the events typed and enriched with ESO assertions are correct.
Original language | English |
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Title of host publication | Proceedings of the 10th International Conference on Language Resources and Evaluation, LREC 2016 |
Editors | Nicoletta Calzolari, Khalid Choukri, Helene Mazo, Asuncion Moreno, Thierry Declerck, Sara Goggi, Marko Grobelnik, Jan Odijk, Stelios Piperidis, Bente Maegaard, Joseph Mariani |
Publisher | European Language Resources Association (ELRA) |
Pages | 1463-1470 |
Number of pages | 8 |
ISBN (Electronic) | 9782951740891 |
Publication status | Published - 1 Jan 2016 |
Event | 10th International Conference on Language Resources and Evaluation, LREC 2016 - Portoroz, Slovenia Duration: 23 May 2016 → 28 May 2016 |
Publication series
Name | Proceedings of the 10th International Conference on Language Resources and Evaluation, LREC 2016 |
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Conference
Conference | 10th International Conference on Language Resources and Evaluation, LREC 2016 |
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Country/Territory | Slovenia |
City | Portoroz |
Period | 23/05/16 → 28/05/16 |
Funding
The research for this paper has been partially funded by the European Union 7th Framework Programme NewsReader (FP7-ICT-2011-8-316404) and the Spanish national project TUNER (TIN2015-65308-C5-1-R).
Keywords
- Ontology
- Semantic role labeling
- Semantic web
- Text mining