Please use this identifier to cite or link to this item: http://repositorio.inesctec.pt/handle/123456789/4329
Title: Semantic Measures: How Similar? How Related?
Authors: Teresa Almeida Costa
José Paulo Leal
Issue Date: 2016
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. © Springer International Publishing Switzerland 2016.
URI: http://repositorio.inesctec.pt/handle/123456789/4329
http://dx.doi.org/10.1007/978-3-319-38791-8_29
metadata.dc.type: conferenceObject
Publication
Appears in Collections:CRACS - Articles in International Conferences

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