Result Details
M-Eco D3.2 - Semantic Annotator
Tato výzkumná zpráva popisuje sémantický anotátor projektu M-Eco. Anotace zahrnuje zejména rozpoznávání jmenných entit. Zabývá se zejména rozpoznáváním lokací, příznaků a nemocí a časových výrazů. Dokument popisuje state-of-the-art nástroje, které se dají pro tento úkol použít, zejména v doméně sociálních sítí.
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.
rozpoznávání pojmenovaných entit, sémantická anotace, Twitter
named entity recognition, semantic annotation, Twitter
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.
@techreport{BUT91121,
author="Lubomír {Otrusina} and Pavel {Smrž}",
title="M-Eco D3.2 - Semantic Annotator",
year="2011",
publisher="The Information Society Technologies (IST) 7th Framework programme",
address="Hannover",
pages="27"
}