A Semi-automatic Adjective Mapping Between plWordNet and Princeton WordNet

  • Ewa RudnickaEmail author
  • Wojciech Witkowski
  • Michał Kaliński
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9302)


The paper presents the methodology and results of a pilot stage of semi-automatic adjective mapping between plWordNet and Princeton WordNet. Two types of rule-based algorithms aimed at generation of automatic prompts are proposed. Both capitalise on the existing network of intra and inter-lingual relations as well as on lemma filtering by a cascade dictionary. The results of their implementation are juxtaposed with the results of manual mapping. The highest precision is achieved in a hybrid approach relying on both synset and lexical unit relations.


Bilingual wordnet alignment Adjective mapping Rule-based algorithms Automatic prompts 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Fellbaum, C.: Wordnet: An electronic lexical database. MIT Press (1998)Google Scholar
  2. 2.
    Hamp, B., Feldweg, H., et al.: Germanet: a lexical-semantic net for German. In: Proceedings of ACL Workshop Automatic Information Extraction and Building of Lexical Semantic Resources for NLP Applications, pp. 9–15 (1997)Google Scholar
  3. 3.
    Vossen, P.: Eurowordnet general document version 3 final (2002)Google Scholar
  4. 4.
    Pianta, E., Bentivogli, L., Girardi, C.: Multiwordnet: developing an aligned multilingual database. In: Proceedings of the First International Conference on Global WordNet (January 2002)Google Scholar
  5. 5.
    Piasecki, M., Szpakowicz, S., Broda, B.: A Wordnet from the Ground Up. Oficyna Wydawnicza Politechniki Wroclawskiej, Wroclaw (2009)Google Scholar
  6. 6.
    Rudnicka, E., Maziarz, M., Piasecki, M., Szpakowicz, S.: A strategy of mapping polish wordnet onto princeton wordnet. In: COLING (Posters), pp. 1039–1048 (2012)Google Scholar
  7. 7.
    Kedzia, P., Piasecki, M., Przybycien, E.R.K.: Automatic prompt system in the process of mapping plwordnet on princeton wordnet. Cognitive Studies 13, 123–141 (2013)Google Scholar
  8. 8.
    Maziarz, M., Piasecki, M., Szpakowicz, S., Rabiega-Wiśniewska, J.: Semantic Relations among Nouns in Polish WordNet Grounded in Lexicographic and Semantic Tradition. Cognitive Studies 11 (2011)Google Scholar
  9. 9.
    Maziarz, M., Szpakowicz, S., Piasecki, M.: Semantic Relations among Adjectives in Polish WordNet 2.0: A New Relation Set, Discussion and Evaluation. Cognitive Studies/Études Cognitives 12, 149–179 (2012)Google Scholar
  10. 10.
    Collins, A.M., Quillian, M.R.: Retrieval time from semantic memory. Journal of Verbal Learning and Verbal Behavior 8(2), 240–247 (1969)CrossRefGoogle Scholar
  11. 11.
    Deese, J.: The associative structure of some common english adjectives. Journal of Verbal Learning and Verbal Behavior 3(5), 347–357 (1964)CrossRefGoogle Scholar
  12. 12.
    Sheinman, V., Fellbaum, C., Julien, I., Schulam, P., Tokunaga, T.: Large, huge or gigantic? identifying and encoding intensity relations among adjectives in wordnet. Language Resources and Evaluation 47(3), 797–816 (2013)CrossRefGoogle Scholar
  13. 13.
    Piotrowski, T., Saloni, Z.: Slownik angielsko-polski i polsko-angielski. Wydawnictwo Naukowe PWN, Warszawa (2002)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Ewa Rudnicka
    • 1
    • 2
    Email author
  • Wojciech Witkowski
    • 1
    • 2
  • Michał Kaliński
    • 1
    • 2
  1. 1.Department of Computational intelligenceWrocław University of TechnologyWrocławPoland
  2. 2.Department of English StudiesUniversity of WrocławWrocławPoland

Personalised recommendations