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Otrusina, L., Smrž, P.: M-Eco D3.2 - Semantic Annotator, Hannover, DE, EU-7FP-IST, 2011, p. 27
Publication language:czech
Original title:M-Eco D3.2 - Semantic Annotator
Title (en):M-Eco D3.2 - Semantic Annotator
Pages:27
Place:Hannover, DE
Year:2011
Publisher:The Information Society Technologies (IST) 7th Framework programme
Keywords
named entity recognition, semantic annotation, Twitter

Annotation
This deliverable deals with semantic annotation of texts collected within the M-Eco project. We describe the annotation process which involves various named entity recognition. A special attention is paid to the key elements for generating signals - geographical names, temporal expressions, diseases and symptoms. The designed and implemented annotation tool is also evaluated on several datasets developed within the project. It provides state-of-the-art performance in terms of annotation accuracy as well as excellent scalability - it is able to on-line process the continuous stream of texts coming through the M-Eco system.
Abstract
This deliverable deals with semantic annotation of texts collected within the M-Eco project. We describe the annotation process which involves various named entity recognition. A special attention is paid to the key elements for generating signals - geographical names, temporal expressions, diseases and symptoms. The designed and implemented annotation tool is also evaluated on several datasets developed within the project. It provides state-of-the-art performance in terms of annotation accuracy as well as excellent scalability - it is able to on-line process the continuous stream of texts coming through the M-Eco system.
BibTeX:
@TECHREPORT{
   author = {Lubomír Otrusina and Pavel Smrž},
   title = {M-Eco D3.2 - Semantic Annotator},
   pages = {27},
   year = {2011},
   location = {Hannover, DE},
   publisher = {The Information Society Technologies (IST) 7th Framework
	programme},
   language = {czech},
   url = {http://www.fit.vutbr.cz/research/view_pub.php?id=9863}
}

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