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An Evaluation of the Effect of Reference Strings and Segmentation on Citation Matching

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Digital Libraries for Open Knowledge (TPDL 2019)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11799))

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Abstract

In this paper, three different possible inputs (reference strings, reference segments and a combination of reference strings and segments) were tested to find the best performing strategy for citation matching. Our evaluation on a manually curated gold standard showed that the input data consisting of the combination of reference segments and reference strings lead to the best result. In addition, the usage of the probabilities of the segmentation improve the result when only features based on reference segments are considered.

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Notes

  1. 1.

    https://github.com/exciteproject/EXmatcher.

  2. 2.

    https://lucene.apache.org/solr/guide/6_6/query-syntax-and-parsing.html.

  3. 3.

    https://lucene.apache.org/core/7_4_0/core/org/apache/lucene/search/similarities/TFIDFSimilarity.html.

  4. 4.

    https://github.com/exciteproject/EXgoldstandard/.

References

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  3. Ghavimi, B., Otto, W., Mayr, P.: EXmatcher: combining features based on reference strings and segments to enhance citation matching. arXiv preprint (2019). arXiv:1906.04484

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  5. Hosseini, A., et al.: EXCITE - a toolchain to extract, match and publish open literature references. In: Proceedings of JCDL 2019 (2019). https://doi.org/10.1109/JCDL.2019.00105

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  8. Wellner, B., et al.: An integrated, conditional model of information extraction and coreference with application to citation matching. AUAI Press (2004)

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Author information

Authors and Affiliations

  1. GESIS – Leibniz Institute for the Social Sciences, Köln, Germany

    Behnam Ghavimi, Wolfgang Otto & Philipp Mayr

Authors
  1. Behnam Ghavimi
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  2. Wolfgang Otto
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  3. Philipp Mayr
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Corresponding author

Correspondence to Behnam Ghavimi .

Editor information

Editors and Affiliations

  1. University of La Rochelle, La Rochelle, France

    Antoine Doucet

  2. VU University Amsterdam, Amsterdam, The Netherlands

    Antoine Isaac

  3. Linnaeus University, Växjö, Sweden

    Koraljka Golub

  4. OsloMet – Oslo Metropolitan University, Oslo, Norway

    Trond Aalberg

  5. Kyoto University, Kyoto, Japan

    Adam Jatowt

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Ghavimi, B., Otto, W., Mayr, P. (2019). An Evaluation of the Effect of Reference Strings and Segmentation on Citation Matching. In: Doucet, A., Isaac, A., Golub, K., Aalberg, T., Jatowt, A. (eds) Digital Libraries for Open Knowledge. TPDL 2019. Lecture Notes in Computer Science(), vol 11799. Springer, Cham. https://doi.org/10.1007/978-3-030-30760-8_35

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  • DOI: https://doi.org/10.1007/978-3-030-30760-8_35

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-30759-2

  • Online ISBN: 978-3-030-30760-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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