Semantic Measures: How Similar? How Related?

dc.contributor.author José Paulo Leal en
dc.contributor.other 5125 en
dc.date.accessioned 2023-08-02T08:16:15Z
dc.date.available 2023-08-02T08:16:15Z
dc.date.issued 2016 en
dc.description.abstract There are two main types of semantic measures (SM): similarity and relatedness. There are also two main types of datasets, those intended for similarity evaluations and those intended for relatedness. Although they are clearly distinct, they are similar enough to generate some misconceptions. Is there a confusion between similarity and relatedness among the semantic measure community, both the designers of SMs and the creators of benchmarks? This is the question that the research presented in this paper tries to answer. Authors performed a survey of both the SMs and datasets and executed a cross evaluation of those measures and datasets. The results show different consistency of measures with datasets of the same type. This research enabled us to conclude not only that there is indeed some confusion but also to pinpoint the SMs and benchmarks less consistent with their intended type. en
dc.identifier P-00K-FDX en
dc.identifier.uri https://repositorio.inesctec.pt/handle/123456789/14259
dc.language eng en
dc.rights info:eu-repo/semantics/openAccess en
dc.title Semantic Measures: How Similar? How Related? en
dc.type en
dc.type Publication en
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