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

fYear

2014

fDate

4-6 Sept. 2014

Firstpage

67

Lastpage

74

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Computer Communication and Processing (ICCP), 2014 IEEE International Conference on

Conference_Location

Cluj Napoca

Print_ISBN

978-1-4799-6568-7

Type

conf

DOI

10.1109/ICCP.2014.6936982

Filename

6936982