Towards a universal wordnet by learning from combined evidence

  title={Towards a universal wordnet by learning from combined evidence},
  author={Gerard de Melo and Gerhard Weikum},
Lexical databases are invaluable sources of knowledge about words and their meanings, with numerous applications in areas like NLP, IR, and AI. We propose a methodology for the automatic construction of a large-scale multilingual lexical database where words of many languages are hierarchically organized in terms of their meanings and their semantic relations to other words. This resource is bootstrapped from WordNet, a well-known English-language resource. Our approach extends WordNet with… CONTINUE READING
Highly Cited
This paper has 129 citations. REVIEW CITATIONS


Publications citing this paper.
Showing 1-10 of 86 extracted citations

130 Citations

Citations per Year
Semantic Scholar estimates that this publication has 130 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.
Showing 1-2 of 2 references

Automatic translation for MLSN

  • D. Cook
  • In mlsn/about/,
  • 2008
Highly Influential
4 Excerpts

Similar Papers

Loading similar papers…