@inproceedings{lendvai-etal-2010-integration,
title = "Integration of Linguistic Markup into Semantic Models of Folk Narratives: The Fairy Tale Use Case",
author = "Lendvai, Piroska and
Declerck, Thierry and
Dar{\'a}nyi, S{\'a}ndor and
Gerv{\'a}s, Pablo and
Herv{\'a}s, Raquel and
Malec, Scott and
Peinado, Federico",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Maegaard, Bente and
Mariani, Joseph and
Odijk, Jan and
Piperidis, Stelios and
Rosner, Mike and
Tapias, Daniel",
booktitle = "Proceedings of the Seventh International Conference on Language Resources and Evaluation ({LREC}'10)",
month = may,
year = "2010",
address = "Valletta, Malta",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2010/pdf/654_Paper.pdf",
abstract = "Propp's influential structural analysis of fairy tales created a powerful schema for representing storylines in terms of character functions, which is directly exploitable for computational semantic analysis, and procedural generation of stories of this genre. We tackle two resources that draw on the Proppian model - one formalizes it as a semantic markup scheme and the other as an ontology -, both lacking linguistic phenomena explicitly represented in them. The need for integrating linguistic information into structured semantic resources is motivated by the emergence of suitable standards that facilitate this, as well as the benefits such joint representation would create for transdisciplinary research across Digital Humanities, Computational Linguistics, and Artificial Intelligence.",
}
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<abstract>Propp’s influential structural analysis of fairy tales created a powerful schema for representing storylines in terms of character functions, which is directly exploitable for computational semantic analysis, and procedural generation of stories of this genre. We tackle two resources that draw on the Proppian model - one formalizes it as a semantic markup scheme and the other as an ontology -, both lacking linguistic phenomena explicitly represented in them. The need for integrating linguistic information into structured semantic resources is motivated by the emergence of suitable standards that facilitate this, as well as the benefits such joint representation would create for transdisciplinary research across Digital Humanities, Computational Linguistics, and Artificial Intelligence.</abstract>
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%0 Conference Proceedings
%T Integration of Linguistic Markup into Semantic Models of Folk Narratives: The Fairy Tale Use Case
%A Lendvai, Piroska
%A Declerck, Thierry
%A Darányi, Sándor
%A Gervás, Pablo
%A Hervás, Raquel
%A Malec, Scott
%A Peinado, Federico
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Odijk, Jan
%Y Piperidis, Stelios
%Y Rosner, Mike
%Y Tapias, Daniel
%S Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC’10)
%D 2010
%8 May
%I European Language Resources Association (ELRA)
%C Valletta, Malta
%F lendvai-etal-2010-integration
%X Propp’s influential structural analysis of fairy tales created a powerful schema for representing storylines in terms of character functions, which is directly exploitable for computational semantic analysis, and procedural generation of stories of this genre. We tackle two resources that draw on the Proppian model - one formalizes it as a semantic markup scheme and the other as an ontology -, both lacking linguistic phenomena explicitly represented in them. The need for integrating linguistic information into structured semantic resources is motivated by the emergence of suitable standards that facilitate this, as well as the benefits such joint representation would create for transdisciplinary research across Digital Humanities, Computational Linguistics, and Artificial Intelligence.
%U http://www.lrec-conf.org/proceedings/lrec2010/pdf/654_Paper.pdf
Markdown (Informal)
[Integration of Linguistic Markup into Semantic Models of Folk Narratives: The Fairy Tale Use Case](http://www.lrec-conf.org/proceedings/lrec2010/pdf/654_Paper.pdf) (Lendvai et al., LREC 2010)
ACL