DocumentCode
3542976
Title
Evaluation of named entity recognition tools on microposts
Author
Dlugolinsky, Stefan ; Ciglan, Marek ; Laclavik, Michal
Author_Institution
Inst. of Inf., Bratislava, Slovakia
fYear
2013
fDate
19-21 June 2013
Firstpage
197
Lastpage
202
Abstract
In this paper we evaluate eight well-known Information Extraction (IE) tools on a task of Named Entity Recognition (NER) in microposts. We have chosen six NLP tools and two Wikipedia concept extractors for the evaluation. Our intent was to see how these tools would perform on relatively short texts of microposts. Evaluation dataset has been adopted from the MSM 2013 IE Challenge. This dataset contained manually annotated microposts with classification restricted to four entity types: PER, LOC, ORG and MISC.
Keywords
Web sites; natural language processing; text analysis; IE tools; LOC; MISC; MSM 2013 IE Challenge; NER; NLP tools; ORG; PER; Wikipedia concept extractors; evaluation dataset; information extraction tools; manually annotated microposts; named entity recognition tools evaluation; Electronic publishing; Encyclopedias; Feature extraction; Internet; Logic gates; Organizations;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Engineering Systems (INES), 2013 IEEE 17th International Conference on
Conference_Location
San Jose
Print_ISBN
978-1-4799-0828-8
Type
conf
DOI
10.1109/INES.2013.6632810
Filename
6632810
Link To Document