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Automated Bilingual Linking of Wordnet Senses

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Computational Collective Intelligence (ICCCI 2020)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12496))

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Abstract

Wordnets for different languages are linked through synsets - sets of synonymous word senses. We present a method of automated transforming synset mapping to sense mapping to build a network of translational equivalents. Two heuristics based on a cross-lingual distributional similarity model are compared with several variants of machine learning based approach exploring different descriptive features. The features are extracted from bilingual and monolingual dictionaries and distributional semantics models, interpreted against wordnets.

Co-financed by the Polish Ministry of Education and Science, CLARIN-PL Project.

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Notes

  1. 1.

    http://plwordnet.pwr.edu.pl/.

  2. 2.

    Lexical units are lemma-grammatical category-sense number triples.

  3. 3.

    https://en.wiktionary.org.

  4. 4.

    https://github.com/facebookresearch/MUSE.

  5. 5.

    http://commoncrawl.org.

  6. 6.

    In the work of [8], several bilingual dictionaries were collected and organised into a cascade: from the most reliable on the top to the lowest quality at the bottom.

  7. 7.

    Glosses and use examples are defined in plWordNet for LUs, not for synsets.

  8. 8.

    https://www.tensorflow.org/.

  9. 9.

    https://keras.io/.

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Authors and Affiliations

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

    Maciej Piasecki, Roman Dyszlewski & Ewa Rudnicka

Authors
  1. Maciej Piasecki
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  2. Roman Dyszlewski
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  3. Ewa Rudnicka
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Corresponding author

Correspondence to Maciej Piasecki .

Editor information

Editors and Affiliations

  1. Department of Applied Informatics, Wrocław University of Science and Technology, Wroclaw, Poland

    Ngoc Thanh Nguyen

  2. Thua Thien Hue Center of Information Technology, Hue, Vietnam

    Bao Hung Hoang

  3. Vietnam - Korea University of Information and Communication Technology, University of Da Nang, Da Nang, Vietnam

    Cong Phap Huynh

  4. Department of Computer Engineering, Yeungnam University, Gyeungsan, Korea (Republic of)

    Dosam Hwang

  5. Department of Applied Informatics, Wrocław University of Science and Technology, Wroclaw, Poland

    Bogdan Trawiński

  6. Department of Information Systems, University of Münster, Münster, Germany

    Gottfried Vossen

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Piasecki, M., Dyszlewski, R., Rudnicka, E. (2020). Automated Bilingual Linking of Wordnet Senses. In: Nguyen, N.T., Hoang, B.H., Huynh, C.P., Hwang, D., Trawiński, B., Vossen, G. (eds) Computational Collective Intelligence. ICCCI 2020. Lecture Notes in Computer Science(), vol 12496. Springer, Cham. https://doi.org/10.1007/978-3-030-63007-2_52

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  • DOI: https://doi.org/10.1007/978-3-030-63007-2_52

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-63006-5

  • Online ISBN: 978-3-030-63007-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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