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pro vyhledávání: '"METIS-297649"'
Autor:
Mena Badieh Habib, M. van Keulen
Publikováno v:
KDIR/KMIS
Proceedings of the 5th International Conference on Knowledge Discovery and Information Retrieval, KDIR 2013, Vilamoura, Portugal, 267-276
STARTPAGE=267;ENDPAGE=276;TITLE=Proceedings of the 5th International Conference on Knowledge Discovery and Information Retrieval, KDIR 2013, Vilamoura, Portugal
Proceedings of the 5th International Conference on Knowledge Discovery and Information Retrieval, KDIR 2013
Scopus-Elsevier
Proceedings of the 5th International Conference on Knowledge Discovery and Information Retrieval, KDIR 2013, Vilamoura, Portugal, 267-276
STARTPAGE=267;ENDPAGE=276;TITLE=Proceedings of the 5th International Conference on Knowledge Discovery and Information Retrieval, KDIR 2013, Vilamoura, Portugal
Proceedings of the 5th International Conference on Knowledge Discovery and Information Retrieval, KDIR 2013
Scopus-Elsevier
Social media is a rich source of information. To make use of this information, it is sometimes required to extract and disambiguate named entities. In this paper we focus on named entity disambiguation (NED) in twitter messages. NED in tweets is chal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b1a7cac2cf3537823e56fe8f0810296c
https://doi.org/10.5220/0004536302670276
https://doi.org/10.5220/0004536302670276