@inproceedings{zhang-etal-2014-xlid,
title = "x{L}i{D}-Lexica: Cross-lingual Linked Data Lexica",
author = {Zhang, Lei and
F{\"a}rber, Michael and
Rettinger, Achim},
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Loftsson, Hrafn and
Maegaard, Bente and
Mariani, Joseph and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Ninth International Conference on Language Resources and Evaluation ({LREC}'14)",
month = may,
year = "2014",
address = "Reykjavik, Iceland",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2014/pdf/248_Paper.pdf",
pages = "2101--2105",
abstract = "In this paper, we introduce our cross-lingual linked data lexica, called xLiD-Lexica, which are constructed by exploiting the multilingual Wikipedia and linked data resources from Linked Open Data (LOD). We provide the cross-lingual groundings of linked data resources from LOD as RDF data, which can be easily integrated into the LOD data sources. In addition, we build a SPARQL endpoint over our xLiD-Lexica to allow users to easily access them using SPARQL query language. Multilingual and cross-lingual information access can be facilitated by the availability of such lexica, e.g., allowing for an easy mapping of natural language expressions in different languages to linked data resources from LOD. Many tasks in natural language processing, such as natural language generation, cross-lingual entity linking, text annotation and question answering, can benefit from our xLiD-Lexica.",
}
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%0 Conference Proceedings
%T xLiD-Lexica: Cross-lingual Linked Data Lexica
%A Zhang, Lei
%A Färber, Michael
%A Rettinger, Achim
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Loftsson, Hrafn
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC’14)
%D 2014
%8 May
%I European Language Resources Association (ELRA)
%C Reykjavik, Iceland
%F zhang-etal-2014-xlid
%X In this paper, we introduce our cross-lingual linked data lexica, called xLiD-Lexica, which are constructed by exploiting the multilingual Wikipedia and linked data resources from Linked Open Data (LOD). We provide the cross-lingual groundings of linked data resources from LOD as RDF data, which can be easily integrated into the LOD data sources. In addition, we build a SPARQL endpoint over our xLiD-Lexica to allow users to easily access them using SPARQL query language. Multilingual and cross-lingual information access can be facilitated by the availability of such lexica, e.g., allowing for an easy mapping of natural language expressions in different languages to linked data resources from LOD. Many tasks in natural language processing, such as natural language generation, cross-lingual entity linking, text annotation and question answering, can benefit from our xLiD-Lexica.
%U http://www.lrec-conf.org/proceedings/lrec2014/pdf/248_Paper.pdf
%P 2101-2105
Markdown (Informal)
[xLiD-Lexica: Cross-lingual Linked Data Lexica](http://www.lrec-conf.org/proceedings/lrec2014/pdf/248_Paper.pdf) (Zhang et al., LREC 2014)
ACL
- Lei Zhang, Michael Färber, and Achim Rettinger. 2014. xLiD-Lexica: Cross-lingual Linked Data Lexica. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 2101–2105, Reykjavik, Iceland. European Language Resources Association (ELRA).