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.
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References
Chiticariu, L., Krishnamurthy, R., Li, Y.Y., Reiss, F., Vaithyanathan, S.: Domain Adaptation of Rule-Based Annotators for Named-Entity Recognition Tasks. In: Empirical Methods in Natural Language Processing, Massachusetts, pp. 1002 – 1012 (2010)
McCallum, A., Li, W.: Early Results for Named Entity Recognition with Conditional Random Fields, Feature Induction and Web-Enhanced Lexicons. In: 7th Conference on Natural Language Learning, pp. 188–191 (2003)
Klein, D., Smarr, J., Nguyen, H., Manning, C.D.: Named Entity Recognition with Character-Level Models. In: 7th Conference on Natural Language Learning, pp. 180–183 (2003)
Irmak, U., Kraft, R.: A Scalable Machine-Learning Approach for Semi-Structured Named Entity Recognition. In: 19th International World Wide Web Conference, North Carolina, pp. 461–470 (2010)
Le, H.T., Nguyen, T.H.: Name Entity Recognition using Inductive Logic Programming. In: Symposium on Information and Communication Technology, Vietnam, pp. 71–77 (2010)
Minkov, E., Wang, R.C., Cohen, W.W.: Extracting Personal Names from Email: Applying Named Entity Recognition to Informal Text. In: Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing, Vancouver, pp. 443–450 (2005)
Sekine, S., Nobata, C.: Definition, Dictionaries and Tagger for Extended Named Entity Hierarchy. In: 4th International Conference on Language Resource and Evaluation (LREC), pp. 1977–1980 (2004)
Smarr, J., Manning, C.D.: Classifying Unknown Proper Noun Phrases without Context. Technical Report dbpubs/2002-46. Stanford University, Stanford, CA (2002)
Artiles, J., Amigo, E., Gonzalo, J.: The Role of Named Entities in Web People Search. In: Conference on Empirical Methods in Natural Language Processing, Singapore, pp. 534–542 (2009)
Fleischman, M., Hovy, E.: Fine Grained Classification of Named Entities. In: 19th International Conference on Computational Linguistics, pp. 1–7 (2002)
Elson, D.K., Dames, N., McKeown, K.R.: Extracting Social Networks from Literary Fiction. In: 48th Annual Meeting of the Association for Computational Linguistic, Uppsala, Sweden, pp. 138–147 (2010)
Goh, H.N., Kiu, C.C., Soon, L.K., Ranaivo, B.: Automatic Ontology Construction in Fiction-based Domain. International Journal of Software Engineering and Knowledge Engineering (2011) (in Press)
Klein, D., Manning, C.D.: Accurate Unlexicalized Parsing. In: 41st Meeting of the Association for Computational Lingusitic, pp. 423–430 (2003)
Stark, M.M., Riesenfeld, R.F.: WordNet: An Electronic Lexical Database. In: 11th Eurographics Workshop on Rendering (1998)
Verbnet, http://verbs.colorado.edu/~mpalmer/projects/verbnet.html
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Goh, HN., Soon, LK., Haw, SC. (2012). Automatic Identification of Protagonist in Fairy Tales Using Verb. In: Tan, PN., Chawla, S., Ho, C.K., Bailey, J. (eds) Advances in Knowledge Discovery and Data Mining. PAKDD 2012. Lecture Notes in Computer Science(), vol 7302. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30220-6_33
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DOI: https://doi.org/10.1007/978-3-642-30220-6_33
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