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Monitoring named entity recognition: the League Table


Rebholz-Schuhmann, Dietrich; Kafkas, Senay; Kim, Jee-hyub; Jimeno Yepes, Antonio; Lewin, Ian (2013). Monitoring named entity recognition: the League Table. Journal of Biomedical Semantics, 4(1):19.

Abstract

Background
Named entity recognition (NER) is an essential step in automatic text processing pipelines. A number of solutions have been presented and evaluated against gold standard corpora (GSC). The benchmarking against GSCs is crucial, but left to the individual researcher. Herewith we present a League Table web site, which benchmarks NER solutions against selected public GSCs, maintains a ranked list and archives the annotated corpus for future comparisons.
Results
The web site enables access to the different GSCs in a standardized format (IeXML). Upon submission of the annotated corpus the user has to describe the specification of the used solution and then uploads the annotated corpus for evaluation. The performance of the system is measured against one or more GSCs and the results are then added to the web site (“League Table”). It displays currently the results from publicly available NER solutions from the Whatizit infrastructure for future comparisons.
Conclusion
The League Table enables the evaluation of NER solutions in a standardized infrastructure and monitors the results long-term.

Abstract

Background
Named entity recognition (NER) is an essential step in automatic text processing pipelines. A number of solutions have been presented and evaluated against gold standard corpora (GSC). The benchmarking against GSCs is crucial, but left to the individual researcher. Herewith we present a League Table web site, which benchmarks NER solutions against selected public GSCs, maintains a ranked list and archives the annotated corpus for future comparisons.
Results
The web site enables access to the different GSCs in a standardized format (IeXML). Upon submission of the annotated corpus the user has to describe the specification of the used solution and then uploads the annotated corpus for evaluation. The performance of the system is measured against one or more GSCs and the results are then added to the web site (“League Table”). It displays currently the results from publicly available NER solutions from the Whatizit infrastructure for future comparisons.
Conclusion
The League Table enables the evaluation of NER solutions in a standardized infrastructure and monitors the results long-term.

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3 citations in Web of Science®
2 citations in Scopus®
4 citations in Microsoft Academic
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133 downloads since deposited on 15 Oct 2013
20 downloads since 12 months
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Additional indexing

Item Type:Journal Article, not_refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
Language:English
Date:September 2013
Deposited On:15 Oct 2013 14:24
Last Modified:16 Feb 2018 18:08
Publisher:BioMed Central
ISSN:2041-1480
OA Status:Gold
Free access at:PubMed ID. An embargo period may apply.
Publisher DOI:https://doi.org/10.1186/2041-1480-4-19
PubMed ID:24034148

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Licence: Creative Commons: Attribution 2.0 Generic (CC BY 2.0)