Word Occurrence Based Extraction of Work Contributors from Statements of Responsibility

  • Nuno Freire
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8092)


This paper addresses the identification of all contributors of an intellectual work, when they are recorded in bibliographic data but in unstructured form. National bibliographies are very reliable on representing the first author of a work, but frequently, secondary contributors are represented in the statements of responsibility that are transcribed by the cataloguer from the book into the bibliographic records. The identification of work contributors mentioned in statements of responsibility is a typical motivation for the application of information extraction techniques. This paper presents an approach developed for the specific application scenario of the ARROW rights infrastructure being deployed in several European countries to assist in the determination of the copyright status of works that may not be under public domain. Our approach performed reliably in most languages and bibliographic datasets of at least one million records, achieving precision and recall above 0.97 on five of the six evaluated datasets. We conclude that the approach can be reliably applied to other national bibliographies and languages.


named entity recognition information extraction national bibliographies library catalogues copyright 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Joint Steering Committee for Revision of AACR: Anglo-American Cataloguing Rules, 2nd edn. (2005) ISBN: 978-1-85604-570-4 Google Scholar
  2. 2.
    Nadeau, D., Sekine, S.: A survey of named entity recognition and classification. Linguisticae Investigationes 30 (2007)Google Scholar
  3. 3.
    McCallum, A., Freitag, D., Pereira, F.: Maximum entropy Markov models for information extraction and segmentation. In: International Conference on Machine Learning (2000)Google Scholar
  4. 4.
    Martins, B., Borbinha, J., Pedrosa, G., Gil, J., Freire, N.: Geographically-aware information retrieval for collections of digitized historical maps. In: 4th ACM Workshop on Geographical information Retrieval (2007)Google Scholar
  5. 5.
    Freire, N., Borbinha, J., Calado, P., Martins, B.: A Metadata Geoparsing System for Place Name Recognition and Resolution in Metadata Records. In: ACM/IEEE Joint Conference on Digital Libraries (2011)Google Scholar
  6. 6.
    Sporleder, C.: Natural Language Processing for Cultural Heritage Domains. Language and Linguistics Compass 4(9), 750–768 (2010)CrossRefGoogle Scholar
  7. 7.
    King, P., Poulovassilis, A.: Enhancing database technology to better manage and exploit Partially Structured Data. Technical report, University of London (2000)Google Scholar
  8. 8.
    Michelson, M., Knoblock, C.: Creating Relational Data from Unstructured and Ungrammatical Data Sources. Journal of Articial Intelligence Research 31, 543–590 (2008)zbMATHGoogle Scholar
  9. 9.
    Guo, J., Xu, G., Cheng, X., Li, H.: Named Entity Recognition in Query. In: 32nd Annual ACM SIGIR Conference (2009)Google Scholar
  10. 10.
    Du, J., Zhang, Z., Yan, J., Cui, Y., Chen, Z.: Using Search Session Context for Named Entity Recognition in Query. In: 33rd Annual ACM SIGIR Conference (2010)Google Scholar
  11. 11.
    Freire, N., Borbinha, J., Calado, P.: An approach for Named Entity Recognition in Poorly Structured Data. In: Simperl, E., Cimiano, P., Polleres, A., Corcho, O., Presutti, V. (eds.) ESWC 2012. LNCS, vol. 7295, pp. 718–732. Springer, Heidelberg (2012)CrossRefGoogle Scholar
  12. 12.
    The Unicode Consortium, Unicode Text Segmentation (2010),
  13. 13.
    Crocker, D., Overell, P.: Augmented BNF for Syntax Specifications: ABNF. RFC Editor (2008)Google Scholar
  14. 14.
    Sang, T.K., Erik, F.: Introduction to the CoNLL-2002 Shared Task: Language-Independent Named Entity Recognition. In: Proceedings Conference on Natural Language Learning (2002)Google Scholar
  15. 15.
    Sang, T.K., Erik, F., De Meulder, F.: Introduction to the CoNLL-2003 Shared Task: Language-Independent Named Entity Recognition. In: Proceedings Conference on Natural Language Learning (2003)Google Scholar
  16. 16.
    Grishman, R., Sundheim, B.: Message Understanding Conference - 6: A Brief History. In: Proceeding of the International Conference on Computational Linguistics (1996)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Nuno Freire
    • 1
  1. 1.The European Library, Europeana FoundationThe HagueNetherlands

Personalised recommendations