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22481 Automatic classification of folk narrative genres
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Nguyen, Dong-Phuong and Trieschnigg, R.B. and Meder, T. and Theune, M. (2012) Automatic classification of folk narrative genres. In: Proceedings of the 11th Conference on Natural Language Processing, KONVENS 2012 (LThist 2012 workshop), 21 Sep 2012, Vienna, Austria. pp. 378-382. Scientific series of the ÖGAI 5. ÖGAI. ISBN 3-85027-005-X

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Official URL: http://www.oegai.at/konvens2012/proceedings/56_nguyen12w/

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Abstract

Folk narratives are a valuable resource for humanities and social science researchers. This paper focuses on automatically recognizing folk narrative genres, such as urban legends, fairy tales, jokes and riddles. We explore the effectiveness of lexical, structural, stylistic and domain specific features. We find that it is possible to obtain a good performance using only shallow features. As dataset for our experiments we used the Dutch Folktale database, containing narratives from the 16th century until now.

Item Type:Conference or Workshop Paper (Full Paper, Poster)
Research Group:EWI-HMI: Human Media Interaction, EWI-DB: Databases
Research Program:CTIT-NICE: Natural Interaction in Computer-mediated Environments
Research Project:FACT: Folktales As Classifiable Texts
Additional Information:Empirical Methods in Natural Language Processing: 11th Conference on Natural Language Processing (KONVENS), LThist 2012: First International Workshop on Language Technology for Historical Text(s)
Uncontrolled Keywords:classification, text, genre, folktales
ID Code:22481
Status:Published
Deposited On:05 December 2012
Refereed:Yes
International:Yes
More Information:statisticsmetis

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