VAHA: verbs associate with human activity - a study on fairy tales

Hui Ngo Goh; Lay Ki Soon; Su Cheng Haw

doi:10.1007/978-3-642-31087-4_33

VAHA: verbs associate with human activity - a study on fairy tales

Hui Ngo Goh, Lay Ki Soon, Su Cheng Haw

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

2 Citations (Scopus)

Abstract

Named entity recognition (NER) is a subtask in information extraction which aims to locate atomic element into predefined categories. Various NER techniques and tools have been developed to fit the interest of the applications developed. However, most NER works carried out focus on non-fiction domain. Fiction based domain displays a complex context in locating its NE especially name of person that might range from living things to non-living things. This paper proposes VAHA, automated dominant characters identification in fiction domain, particularly in fairy tales. TreeTagger, Stanford Dependencies and WordNet are the three freely available tools being used to identify verbs that are associated with human activity. The experimental results show that it is viable to use verb in identifying named entity, particularly in people category and it can be applied in a small text size environment.

Original language	English
Title of host publication	Advanced Research in Applied Artificial Intelligence - 25th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2012, Proceedings
Pages	313-322
Number of pages	10
DOIs	https://doi.org/10.1007/978-3-642-31087-4_33
Publication status	Published - 2012
Externally published	Yes
Event	International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems 2012 - Dalian, China Duration: 9 Jun 2012 → 12 Jun 2012 Conference number: 25th https://link.springer.com/book/10.1007/978-3-642-31087-4 (Proceedings)

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	7345 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems 2012
Abbreviated title	IEA/AIE 2012
Country/Territory	China
City	Dalian
Period	9/06/12 → 12/06/12
Internet address	https://link.springer.com/book/10.1007/978-3-642-31087-4 (Proceedings)

Keywords

dominant character
fairy tales
Named entity recognition
verb

Access to Document

10.1007/978-3-642-31087-4_33

Cite this

Goh, H. N., Soon, L. K., & Haw, S. C. (2012). VAHA: verbs associate with human activity - a study on fairy tales. In Advanced Research in Applied Artificial Intelligence - 25th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2012, Proceedings (pp. 313-322). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7345 LNAI). https://doi.org/10.1007/978-3-642-31087-4_33

Goh, Hui Ngo ; Soon, Lay Ki ; Haw, Su Cheng. / VAHA : verbs associate with human activity - a study on fairy tales. Advanced Research in Applied Artificial Intelligence - 25th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2012, Proceedings. 2012. pp. 313-322 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "VAHA: verbs associate with human activity - a study on fairy tales",

abstract = "Named entity recognition (NER) is a subtask in information extraction which aims to locate atomic element into predefined categories. Various NER techniques and tools have been developed to fit the interest of the applications developed. However, most NER works carried out focus on non-fiction domain. Fiction based domain displays a complex context in locating its NE especially name of person that might range from living things to non-living things. This paper proposes VAHA, automated dominant characters identification in fiction domain, particularly in fairy tales. TreeTagger, Stanford Dependencies and WordNet are the three freely available tools being used to identify verbs that are associated with human activity. The experimental results show that it is viable to use verb in identifying named entity, particularly in people category and it can be applied in a small text size environment.",

keywords = "dominant character, fairy tales, Named entity recognition, verb",

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

note = "Copyright: Copyright 2012 Elsevier B.V., All rights reserved.; International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems 2012, IEA/AIE 2012 ; Conference date: 09-06-2012 Through 12-06-2012",

year = "2012",

doi = "10.1007/978-3-642-31087-4_33",

language = "English",

isbn = "9783642310867",

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

pages = "313--322",

booktitle = "Advanced Research in Applied Artificial Intelligence - 25th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2012, Proceedings",

url = "https://link.springer.com/book/10.1007/978-3-642-31087-4",

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Goh, HN, Soon, LK & Haw, SC 2012, VAHA: verbs associate with human activity - a study on fairy tales. in Advanced Research in Applied Artificial Intelligence - 25th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2012, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7345 LNAI, pp. 313-322, International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems 2012, Dalian, China, 9/06/12. https://doi.org/10.1007/978-3-642-31087-4_33

VAHA: verbs associate with human activity - a study on fairy tales. / Goh, Hui Ngo; Soon, Lay Ki; Haw, Su Cheng.
Advanced Research in Applied Artificial Intelligence - 25th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2012, Proceedings. 2012. p. 313-322 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7345 LNAI).

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

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T2 - International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems 2012

AU - Goh, Hui Ngo

AU - Soon, Lay Ki

AU - Haw, Su Cheng

N1 - Conference code: 25th

PY - 2012

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AB - Named entity recognition (NER) is a subtask in information extraction which aims to locate atomic element into predefined categories. Various NER techniques and tools have been developed to fit the interest of the applications developed. However, most NER works carried out focus on non-fiction domain. Fiction based domain displays a complex context in locating its NE especially name of person that might range from living things to non-living things. This paper proposes VAHA, automated dominant characters identification in fiction domain, particularly in fairy tales. TreeTagger, Stanford Dependencies and WordNet are the three freely available tools being used to identify verbs that are associated with human activity. The experimental results show that it is viable to use verb in identifying named entity, particularly in people category and it can be applied in a small text size environment.

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Goh HN, Soon LK, Haw SC. VAHA: verbs associate with human activity - a study on fairy tales. In Advanced Research in Applied Artificial Intelligence - 25th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2012, Proceedings. 2012. p. 313-322. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-31087-4_33

VAHA: verbs associate with human activity - a study on fairy tales

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Keywords

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