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|Year=2014
 
|Year=2014
 
|Month=Oktober
 
|Month=Oktober
|Booktitle=Proceedings of the NLP&DBpedia workshop co-located with the 13th International Semantic Web Conference (ISWC 2014), Riva del Garda, Trentino, Italy, October, 2013
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|Booktitle=Proceedings of the NLP&DBpedia workshop co-located with the 13th International Semantic Web Conference (ISWC 2014)
 
|Publisher=CEUR-WS
 
|Publisher=CEUR-WS
 
}}
 
}}
 
{{Publikation Details
 
{{Publikation Details
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|Abstract=DBpedia, as a large repository of structured knowledge, has become a valuable resource for language technologies. On the other hand, multilinguality and cross-linguality have emerged as issues of major interest. However, the deficiency in unstructured resources and cross-lingual structures for DBpedia hinders its more wide-spread application in natural language processing (NLP) tasks, especially in the cross-lingual context. In this paper, we introduce our NLP resources extracted from Wikipedia, which aim at bridging the gap between cross-lingual NLP and DBpedia. In order to achieve this, we exploited various kinds of elements and structures in Wikipedia to derive different associations between NLP elements and DBpedia resources.
 
|Projekt=XLiMe, XLike
 
|Projekt=XLiMe, XLike
 
|Forschungsgruppe=Wissensmanagement
 
|Forschungsgruppe=Wissensmanagement
 
}}
 
}}

Version vom 18. September 2014, 16:55 Uhr

















Fehler im Ausdruck: Unerkanntes Wort „steffen“


Bridging the Gap between Cross-lingual NLP and DBpedia by Exploiting Wikipedia


Bridging the Gap between Cross-lingual NLP and DBpedia by Exploiting Wikipedia



Published: 2014 Oktober

Buchtitel: Proceedings of the NLP&DBpedia workshop co-located with the 13th International Semantic Web Conference (ISWC 2014)
Verlag: CEUR-WS

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Kurzfassung
DBpedia, as a large repository of structured knowledge, has become a valuable resource for language technologies. On the other hand, multilinguality and cross-linguality have emerged as issues of major interest. However, the deficiency in unstructured resources and cross-lingual structures for DBpedia hinders its more wide-spread application in natural language processing (NLP) tasks, especially in the cross-lingual context. In this paper, we introduce our NLP resources extracted from Wikipedia, which aim at bridging the gap between cross-lingual NLP and DBpedia. In order to achieve this, we exploited various kinds of elements and structures in Wikipedia to derive different associations between NLP elements and DBpedia resources.


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XLiMeXLike


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XLiD-Lexica


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Wissensmanagement


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