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Evaluating Natural Language Processing tools for Polish during PolEval 2019

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Human Language Technology. Challenges for Computer Science and Linguistics (LTC 2019)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 13212))

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Abstract

PolEval is a SemEval-inspired evaluation campaign for natural language processing tools for Polish. Submitted tools compete against one another within certain tasks selected by organizers, using available data and are evaluated according to pre-established procedures. It is organized since 2017 and each year the winning systems become the state-of-the-art in Polish language processing in the respective tasks. In 2019 we have organized six different tasks, creating an even greater opportunity for NLP researchers to evaluate their systems in an objective manner.

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Notes

  1. 1.

    http://poleval.pl.

  2. 2.

    http://2019.poleval.pl/.

  3. 3.

    https://catalog.ldc.upenn.edu/docs/LDC2006T08/timeml_annguide_1.2.1.pdf.

  4. 4.

    http://poleval.pl/task1/plimex_annotation.pdf.

  5. 5.

    http://poleval.pl/task1/plimex_normalisation.pdf.

  6. 6.

    https://www.wikidata.org.

  7. 7.

    https://www.wikidata.org/wiki/Q231593.

  8. 8.

    https://www.wikidata.org/wiki/Q9363509.

  9. 9.

    http://poleval.pl/task3/entity-types.tsv.

  10. 10.

    https://developer.twitter.com/en/docs/tweets/search/api-reference/get-search-tweets.html.

  11. 11.

    https://www.sotrender.com/blog/pl/2018/01/twitter-w-polsce-2017-infografika/.

  12. 12.

    http://nlp.fast.ai.

  13. 13.

    https://github.com/google/sentencepiece.

  14. 14.

    https://github.com/google-research/bert.

  15. 15.

    https://github.com/EpistasisLab/tpot.

  16. 16.

    https://spacy.io/api/textcategorizer.

  17. 17.

    https://fasttext.cc.

  18. 18.

    https://github.com/zalandoresearch/flair.

  19. 19.

    https://github.com/mciura/przetak.

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Acknowledgements

The work on temporal expression recognition and phrase lemmatization were financed as part of the investment in the CLARIN-PL research infrastructure funded by the Polish Ministry of Science and Higher Education.

The work on Entity Linking was supported by the Polish National Centre for Research and Development – LIDER Program under Grant LIDER/ 27/0164/L-8/16/NCBR/2017 titled “Lemkin - intelligent legal information system” and also supported in part by PLGrid Infrastructure.

Author information

Authors and Affiliations

  1. Institute of Computer Science, Polish Academy of Sciences, Warsaw, Poland

    Łukasz Kobyliński & Maciej Ogrodniczuk

  2. Wrocław University of Science and Technology, Wrocław, Poland

    Jan Kocoń & Michał Marcińczuk

  3. AGH University of Science and Technology, Kraków, Poland

    Aleksander Smywiński-Pohl

  4. Kitami Institute of Technology, Kitami, Japan

    Michal Ptaszynski

  5. Polish-Japanese Academy of Information Technology, Warsaw, Poland

    Krzysztof Wołk, Danijel Koržinek & Agata Pieciukiewicz

  6. Jagiellonian University in Kraków, Kraków, Poland

    Paweł Dybała

Authors
  1. Łukasz Kobyliński
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  2. Maciej Ogrodniczuk
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  3. Jan Kocoń
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  4. Michał Marcińczuk
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  5. Aleksander Smywiński-Pohl
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  6. Krzysztof Wołk
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  7. Danijel Koržinek
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  8. Michal Ptaszynski
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Corresponding author

Correspondence to Łukasz Kobyliński .

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Editors and Affiliations

  1. Adam Mickiewicz University, Poznań, Poland

    Zygmunt Vetulani

  2. LIMSI-CNRS, Orsay, France

    Patrick Paroubek

  3. Adam Mickiewicz University, Poznań, Poland

    Marek Kubis

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Kobyliński, Ł. et al. (2022). Evaluating Natural Language Processing tools for Polish during PolEval 2019. In: Vetulani, Z., Paroubek, P., Kubis, M. (eds) Human Language Technology. Challenges for Computer Science and Linguistics. LTC 2019. Lecture Notes in Computer Science(), vol 13212. Springer, Cham. https://doi.org/10.1007/978-3-031-05328-3_20

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  • DOI: https://doi.org/10.1007/978-3-031-05328-3_20

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