Event detection is a key aspect of story development which is itself composed of multiple narrative layers. Most of the narratives are template-based and follow a narration theory. In this paper, we demonstrate a narrative from events detected in the international relations domain using our novel mediation ontology. We also introduce a novel method of classifying events through the mediation ontology using Beth Levin Verbs Classification, word2vec and Universal Dependencies. The selected feature space is a result of mapping language entities to ontological entities where we obtain substantially good results. Our methodology involves action classification based on the verb categorization of Beth Levin and its arguments determined by universal dependencies. The narration also presents interactions of international actors over various topics and other visualizations which would help journalists and researchers in the international relations domain.
@InProceedings{KATTAGONI18.2, author = {VenuMadhav Kattagoni and Navjyoti Singh}, title = {IREvent2Story: A Novel Mediation Ontology and Narrative Generation}, booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)}, year = {2018}, month = {may}, date = {7-12}, location = {Miyazaki, Japan}, editor = {Octavian Popescu and Carlo Strapparava}, publisher = {European Language Resources Association (ELRA)}, address = {Paris, France}, isbn = {979-10-95546-11-5}, language = {english} }
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