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2020 | OriginalPaper | Buchkapitel

Identification of Research Data References Based on Citation Contexts

verfasst von : Tomoki Ikoma, Shigeki Matsubara

Erschienen in: Digital Libraries at Times of Massive Societal Transition

Verlag: Springer International Publishing

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Abstract

In this paper, a method for the automatic identification of research data references in publications is proposed for automatically generating research data repositories. The International Conference on Language Resources and Evaluation (LREC) requires authors to list research data references separately from other publication references. The goal of our research is to automate the discrimination process. We investigated the reference lists in LREC papers and the citation contexts to find characteristic features that are useful for identifying research data references. We confirmed that key phrases appeared in the citation contexts and the bibliographical elements in the reference lists. Our proposed method uses the presence or absence of key phrases to identify research data references. Experiments on LREC proceedings papers proved the effectiveness of using key phrases in the citation context.
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Metadaten
Titel
Identification of Research Data References Based on Citation Contexts
verfasst von
Tomoki Ikoma
Shigeki Matsubara
Copyright-Jahr
2020
DOI
https://doi.org/10.1007/978-3-030-64452-9_13

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