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Wordnet – a Basic Resource for Natural Language Processing: The Case of plWordNet

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Advances in Computational Collective Intelligence (ICCCI 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1287))

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Abstract

This paper presents a wide scope of wordnet applications on the example of applications of plWordNet – a wordnet of Polish. Wordnets are large lexical-semantic databases functioning as primary resources for language technology. They are machine-readable dictionaries. Thus, they are indispensible for tasks such as basic flow of text processing, text mining, word sense disambiguation, information extraction and retrieval. On a larger scale, wordnets are used in research, education and business. In this paper a few examples of specific plWordNet applications are described in detail.

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Notes

  1. 1.

    As early as 2004, as Morato et al. mentioned, ontologies and semantic web were one of the most dynamically developing areas of wordnet applications.

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Authors and Affiliations

  1. Wroclaw University of Science and Technology, Faculty of Computer Science and Management, Wroclaw, Poland

    Agnieszka Dziob & Tomasz Naskręt

Authors
  1. Agnieszka Dziob
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  2. Tomasz Naskręt
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Correspondence to Agnieszka Dziob .

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Editors and Affiliations

  1. Wroclaw University of Economics and Business, Wrocław, Poland

    Marcin Hernes

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

    Krystian Wojtkiewicz

  3. University of Newcastle, Newcastle, Australia

    Edward Szczerbicki

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Dziob, A., Naskręt, T. (2020). Wordnet – a Basic Resource for Natural Language Processing: The Case of plWordNet. In: Hernes, M., Wojtkiewicz, K., Szczerbicki, E. (eds) Advances in Computational Collective Intelligence. ICCCI 2020. Communications in Computer and Information Science, vol 1287. Springer, Cham. https://doi.org/10.1007/978-3-030-63119-2_56

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  • DOI: https://doi.org/10.1007/978-3-030-63119-2_56

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