Evaluation of named entity recognition tools on microposts

Evaluation of named entity recognition tools on microposts

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...

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Hauptverfasser: Dlugolinsky, Stefan, Ciglan, Marek, Laclavik, Michal
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Electronic publishing
Encyclopedias
Feature extraction
Internet
Logic gates
Organizations
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Beschreibung
Zusammenfassung: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.
ISSN:1543-9259
2767-9462
DOI:10.1109/INES.2013.6632810