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Multi-pass Sieve Coreference Resolution System for Polish

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Language, Data, and Knowledge (LDK 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10318))

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Abstract

This paper examines the portability of Stanford’s multi-pass rule-based sieve coreference resolution system to inflectional language (Polish) with a different annotation scheme. The presented system is implemented in BART, a modular toolkit later adapted to the sieve architecture by Baumann et al. The sieves for Polish include processing of zero subjects and experimental knowledge-intensive sieve using the newly created database of periphrastic expressions. Evaluation shows that the results for Polish are higher than those seen on the CoNLL-2011/2012 data.

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Notes

  1. 1.

    http://zil.ipipan.waw.pl/Scoreference.

  2. 2.

    http://zil.ipipan.waw.pl/PCC.

  3. 3.

    http://nkjp.pl.

  4. 4.

    See http://nkjp.pl/poliqarp/help/en.html for a concise tag descriptions.

  5. 5.

    http://sgjp.pl/morfeusz/.

  6. 6.

    http://zil.ipipan.waw.pl/PANTERA.

  7. 7.

    Polish stop-words list was taken from the Polish Wikipedia stop-words list https://pl.wikipedia.org/wiki/Wikipedia:Stopwords.

  8. 8.

    http://sjp.pl/.

  9. 9.

    http://plwordnet.pwr.wroc.pl/.

  10. 10.

    https://www.wikidata.org/.

  11. 11.

    http://szarada.net/.

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Acknowledgements

The work reported here was carried out within the research project financed by the Polish National Science Centre (contract number 2014/15/B/HS2/03435) and as part of the investment in the CLARIN-PL research infrastructure funded by the Polish Ministry of Science and Higher Education.

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Authors and Affiliations

  1. Institute of Computer Science, Polish Academy of Sciences, ul. Jana Kazimierza 5, 01-248, Warsaw, Poland

    Bartłomiej Nitoń & Maciej Ogrodniczuk

Authors
  1. Bartłomiej Nitoń
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  2. Maciej Ogrodniczuk
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Correspondence to Maciej Ogrodniczuk .

Editor information

Editors and Affiliations

  1. Universidad Politécnica de Madrid, Madrid, Spain

    Jorge Gracia

  2. Nanyang Technological University, Singapore, Singapore

    Francis Bond

  3. Insight Centre for Data Analytics, National University of Ireland, Galway, Galway, Ireland

    John P. McCrae

  4. Insight Centre for Data Analytics, National University of Ireland, Galway, Ireland

    Paul Buitelaar

  5. Goethe-University Frankfurt, Frankfurt, Germany

    Christian Chiarcos

  6. University of Leipzig, Leipzig, Germany

    Sebastian Hellmann

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Nitoń, B., Ogrodniczuk, M. (2017). Multi-pass Sieve Coreference Resolution System for Polish. In: Gracia, J., Bond, F., McCrae, J., Buitelaar, P., Chiarcos, C., Hellmann, S. (eds) Language, Data, and Knowledge. LDK 2017. Lecture Notes in Computer Science(), vol 10318. Springer, Cham. https://doi.org/10.1007/978-3-319-59888-8_20

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  • DOI: https://doi.org/10.1007/978-3-319-59888-8_20

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