Building Accurate Semantic Taxonomies from Monolingual MRDs
<|reference_start|>Building Accurate Semantic Taxonomies from Monolingual MRDs: This paper presents a method that combines a set of unsupervised algorithms in order to accurately build large taxonomies from any machine-readable dictionary (MRD). Our aim is to profit from conventional MRDs, with no explicit semantic coding. We propose a system that 1) performs fully automatic exraction of taxonomic links from MRD entries and 2) ranks the extracted relations in a way that selective manual refinement is allowed. Tested accuracy can reach around 100% depending on the degree of coverage selected, showing that taxonomy building is not limited to structured dictionaries such as LDOCE.<|reference_end|>
@article{rigau1998building,
    title={Building Accurate Semantic Taxonomies from Monolingual MRDs},
    author={German Rigau & Horacio Rodriguez (Departament de LSI, Universitat
  Politecnica de Catalunya) & Eneko Agirre (Lengoia eta Informatikoak saila,
  Euskal Erriko Universitatea)},
    journal={arXiv preprint arXiv:cmp-lg/9806015},
    year={1998},
    archivePrefix={arXiv},
    eprint={cmp-lg/9806015},
    primaryClass={cmp-lg cs.CL}
}