Automatic identification of protagonist in fairy tales using verb

Authors:
Hui-Ngo Goh;Lay-Ki Soon;Su-Cheng Haw
Affiliations:
Faculty of Computing and Informatics, Multimedia University, Jalan Multimedia, Cyberjaya, Selangor, Malaysia;Faculty of Computing and Informatics, Multimedia University, Jalan Multimedia, Cyberjaya, Selangor, Malaysia;Faculty of Computing and Informatics, Multimedia University, Jalan Multimedia, Cyberjaya, Selangor, Malaysia
Venue:
PAKDD'12 Proceedings of the 16th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part II
Year:
2012

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Abstract

Named entity recognition (NER) has been a well-studied problem in the area of text mining for locating atomic element into predefined categories, where "name of people" is one of the most commonly studied categories. Numerous new NER techniques have been unfolded to accommodate the needs of the application developed. However, most research works carried out focused on non-fiction domain. Fiction domain exhibits complexity and uncertainty in locating protagonist as it represents name of person in a diverse spectrums, ranging from living things (animals, plants, person) to non-living things (vehicle, furniture). This paper proposes automated protagonist identification in fiction domain, particularly in fairy tales. Verb has been used as a determinant in substantiating the existence of protagonist with the assistance of WordNet. The experimental results show that it is viable to use verb in identifying named entity, particularly "people" category and it can be applied in a small text size environment.