Automatic identification of protagonist in fairy tales using verb

Hui Ngo Goh; Lay Ki Soon; Su Cheng Haw

doi:10.1007/978-3-642-30220-6_33

Automatic identification of protagonist in fairy tales using verb

Hui Ngo Goh, Lay Ki Soon, Su Cheng Haw

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

6 Citations (Scopus)

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.

Original language	English
Title of host publication	Advances in Knowledge Discovery and Data Mining - 16th Pacific-Asia Conference, PAKDD 2012, Proceedings
Pages	395-406
Number of pages	12
Edition	PART 2
DOIs	https://doi.org/10.1007/978-3-642-30220-6_33
Publication status	Published - 2012
Externally published	Yes
Event	Pacific-Asia Conference on Knowledge Discovery and Data Mining 2012 - Kuala Lumpur, Malaysia Duration: 29 May 2012 → 1 Jun 2012 Conference number: 16th https://link.springer.com/book/10.1007/978-3-642-30217-6 (Proceedings)

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 2
Volume	7301 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	Pacific-Asia Conference on Knowledge Discovery and Data Mining 2012
Abbreviated title	PAKDD 2012
Country/Territory	Malaysia
City	Kuala Lumpur
Period	29/05/12 → 1/06/12
Internet address	https://link.springer.com/book/10.1007/978-3-642-30217-6 (Proceedings)

Keywords

characters
fairy tales
Named entity recognition
text mining

Access to Document

10.1007/978-3-642-30220-6_33

Cite this

Goh, H. N., Soon, L. K., & Haw, S. C. (2012). Automatic identification of protagonist in fairy tales using verb. In Advances in Knowledge Discovery and Data Mining - 16th Pacific-Asia Conference, PAKDD 2012, Proceedings (PART 2 ed., pp. 395-406). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7301 LNAI, No. PART 2). https://doi.org/10.1007/978-3-642-30220-6_33

Goh, Hui Ngo ; Soon, Lay Ki ; Haw, Su Cheng. / Automatic identification of protagonist in fairy tales using verb. Advances in Knowledge Discovery and Data Mining - 16th Pacific-Asia Conference, PAKDD 2012, Proceedings. PART 2. ed. 2012. pp. 395-406 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).

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title = "Automatic identification of protagonist in fairy tales using verb",

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.",

keywords = "characters, fairy tales, Named entity recognition, text mining",

author = "Goh, {Hui Ngo} and Soon, {Lay Ki} and Haw, {Su Cheng}",

note = "Copyright: Copyright 2012 Elsevier B.V., All rights reserved.; Pacific-Asia Conference on Knowledge Discovery and Data Mining 2012, PAKDD 2012 ; Conference date: 29-05-2012 Through 01-06-2012",

year = "2012",

doi = "10.1007/978-3-642-30220-6_33",

language = "English",

isbn = "9783642302190",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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Goh, HN, Soon, LK & Haw, SC 2012, Automatic identification of protagonist in fairy tales using verb. in Advances in Knowledge Discovery and Data Mining - 16th Pacific-Asia Conference, PAKDD 2012, Proceedings. PART 2 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 7301 LNAI, pp. 395-406, Pacific-Asia Conference on Knowledge Discovery and Data Mining 2012, Kuala Lumpur, Malaysia, 29/05/12. https://doi.org/10.1007/978-3-642-30220-6_33

Automatic identification of protagonist in fairy tales using verb. / Goh, Hui Ngo; Soon, Lay Ki; Haw, Su Cheng.

Advances in Knowledge Discovery and Data Mining - 16th Pacific-Asia Conference, PAKDD 2012, Proceedings. PART 2. ed. 2012. p. 395-406 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7301 LNAI, No. PART 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

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AU - Soon, Lay Ki

AU - Haw, Su Cheng

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N2 - 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.

AB - 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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ER -

Goh HN, Soon LK, Haw SC. Automatic identification of protagonist in fairy tales using verb. In Advances in Knowledge Discovery and Data Mining - 16th Pacific-Asia Conference, PAKDD 2012, Proceedings. PART 2 ed. 2012. p. 395-406. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). https://doi.org/10.1007/978-3-642-30220-6_33

Automatic identification of protagonist in fairy tales using verb

Abstract

Publication series

Conference

Keywords

Access to Document

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Cite this