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.
|Title of host publication||Proceedings of the 11th Conference on Natural Language Processing, KONVENS 2012 (LThist 2012 workshop)|
|Place of Publication||Vienna, Austria|
|Number of pages||5|
|Publication status||Published - 21 Sep 2012|
|Name||Scientific series of the ÖGAI|