Mapping Multilingual Hierarchies Using Relaxation Labeling
<|reference_start|>Mapping Multilingual Hierarchies Using Relaxation Labeling: This paper explores the automatic construction of a multilingual Lexical Knowledge Base from pre-existing lexical resources. We present a new and robust approach for linking already existing lexical/semantic hierarchies. We used a constraint satisfaction algorithm (relaxation labeling) to select --among all the candidate translations proposed by a bilingual dictionary-- the right English WordNet synset for each sense in a taxonomy automatically derived from a Spanish monolingual dictionary. Although on average, there are 15 possible WordNet connections for each sense in the taxonomy, the method achieves an accuracy over 80%. Finally, we also propose several ways in which this technique could be applied to enrich and improve existing lexical databases.<|reference_end|>
@article{daude1999mapping,
    title={Mapping Multilingual Hierarchies Using Relaxation Labeling},
    author={J. Daude, L. Padro and G. Rigau (TALP Research Center. LSI Dept.
  Universitat Politecnica de Catalunya. Barcelona)},
    journal={arXiv preprint arXiv:cs/9906025},
    year={1999},
    archivePrefix={arXiv},
    eprint={cs/9906025},
    primaryClass={cs.CL}
}