A Comparison of WordNet and Roget's Taxonomy for Measuring Semantic Similarity
<|reference_start|>A Comparison of WordNet and Roget's Taxonomy for Measuring Semantic Similarity: This paper presents the results of using Roget's International Thesaurus as the taxonomy in a semantic similarity measurement task. Four similarity metrics were taken from the literature and applied to Roget's The experimental evaluation suggests that the traditional edge counting approach does surprisingly well (a correlation of r=0.88 with a benchmark set of human similarity judgements, with an upper bound of r=0.90 for human subjects performing the same task.)<|reference_end|>
@article{hale1998a,
    title={A Comparison of WordNet and Roget's Taxonomy for Measuring Semantic
  Similarity},
    author={Michael Mc Hale (Air Force Research Laboratory)},
    journal={arXiv preprint arXiv:cmp-lg/9809003},
    year={1998},
    archivePrefix={arXiv},
    eprint={cmp-lg/9809003},
    primaryClass={cmp-lg cs.CL}
}