Title :
Interleaving ontology-based reasoning and Natural Language Processing for character identification in folktales
Author :
Suciu, Daniel ; Groza, Adrian
Author_Institution :
Dept. of Comput. Sci., Tech. Univ. of Cluj-Napoca, Cluj-Napoca, Romania
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.
Keywords :
humanities; inference mechanisms; natural language processing; ontologies (artificial intelligence); text analysis; GATE; character extraction; character recognition; folktale; free text; knowledge encoding; literary character identification; natural language processing; ontology-based reasoning; Logic gates; Measurement; Natural language processing; Ontologies; Pipelines; Semantics; Syntactics; Natural language processing; characters identification; folktales; ontologies;
Conference_Titel :
Intelligent Computer Communication and Processing (ICCP), 2014 IEEE International Conference on
Conference_Location :
Cluj Napoca
Print_ISBN :
978-1-4799-6568-7
DOI :
10.1109/ICCP.2014.6936982
