Combining Multiple Resources to Build Reliable Wordnets

  • Darja Fišer
  • Benoît Sagot
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5246)


This paper compares automatically generated sets of synonyms in French and Slovene wordnets with respect to the resources used in the construction process. Polysemous words were disambiguated via a five-language word-alignment of the SEERA.NET parallel corpus, a subcorpus of the JRC Acquis. The extracted multilingual lexicon was disambiguated with the existing wordnets for these languages. On the other hand, a bilingual approach sufficed to acquire equivalents for monosemous words. Bilingual lexicons were extracted from different resources, including Wikipedia, Wiktionary and EUROVOC thesaurus. A representative sample of the generated synsets was evaluated against the goldstandards.


Word Sense Disambiguation Multiple Resource Parallel Corpus Translation Approach Word Alignment 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Darja Fišer
    • 1
  • Benoît Sagot
    • 2
  1. 1.Fac. of ArtsUniv. of LjubljanaLjubljanaSlovenia
  2. 2.Alpage, INRIA / Paris 7ParisFrance

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