Automatic classification of folk narrative genres

Dong-Phuong Nguyen, Rudolf Berend Trieschnigg, Theo Meder, Mariet Theune

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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.
Original languageUndefined
Title of host publicationProceedings of the 11th Conference on Natural Language Processing, KONVENS 2012 (LThist 2012 workshop)
EditorsJ. Jancsary
Place of PublicationVienna, Austria
PublisherÖGAI
Pages378-382
Number of pages5
ISBN (Print)3-85027-005-X
Publication statusPublished - 21 Sep 2012

Publication series

NameScientific series of the ÖGAI
PublisherÖGAI
Volume5

Keywords

  • EWI-22481
  • text
  • folktales
  • METIS-296138
  • IR-83406
  • Classification
  • genre

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