C49Conference Proceedings2014

Interleaving Ontology-Based Reasoning and Natural Language Processing for Character Identification in Folktales

Abstract

We propose a system for identifying literary characters from folktales. The process of extracting characters from free texts is guided by an ontology that encodes the knowledge of the folktale domain. We present how the ontology works with Natural Language Processing in GATE to increase the accuracy of character recognition. We validated the solution against various folktales.

Full citation

"Interleaving Ontology-Based Reasoning and Natural Language Processing for Character Identification in Folktales", Daniel Suciu and Adrian Groza, IEEE 10th International Conference on Intelligent Computer Communication and Processing (ICCP,14), Cluj-Napoca, Romania, 4-6 September 2014 pp. 67-74, 2014.