From Social Networks To Distributional Properties: A Comparative Study On Computing Semantic Relatedness

Title: From Social Networks To Distributional Properties: A Comparative Study On Computing Semantic Relatedness
Authors:  Ulli Waltinger, Irene Cramer and  Tonio Wandmacher
Pub/Conf:  31th Annual Conference of the Cognitive Science Society. Taatgen NA, Rijn van H (Eds); Austin, TX: Cognitive Science Society: 3016–3021. 2009

Abstract:
In recent years a variety of approaches in computing semantic relatedness have been proposed. However, the algorithms and resources employed differ strongly, as well as the results obtained under different experimental conditions. This article investigates the quality of various semantic relatedness measures in a comparative study. We conducted an extensive experiment using a broad variety of measures operating on social networks, lexical-semantic nets and co-occurrence in text corpora. For two sample data sets we obtained human relatedness judgements which were compared to the estimates of the automated measures. We also analyzed the algorithms implemented and resources employed from a theoretical point of view, and we examined several practical issues, such as run time and coverage. While the performance of all measures is still mediocre, we could observe that in terms of of coverage and correlation distributional measures operating on controlled corpora perform best.

BibTeX:

@inproceedings{1904115,
  author       = {Waltinger, Ulli and Cramer, Irene and Wandmacher, Tonio},
  editor       = {N.A. Taatgen and H. Rijn van},
  language     = {English},
  pages        = {3016--3021},
  publisher    = {Cognitive Science Society},
  series       = {Proceedings of the 31th Annual Conference of the 
                 Cognitive Science Society},
  title        = {From Social Networks To Distributional Properties: 
                 A Comparative Study On Computing Semantic Relatedness},
  year         = {2009},
}

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