Comparing and Benchmarking Semantic Measures Using SMComp

dc.contributor.author José Paulo Leal en
dc.contributor.other 5125 en
dc.date.accessioned 2023-08-02T08:16:25Z
dc.date.available 2023-08-02T08:16:25Z
dc.date.issued 2016 en
dc.description.abstract The goal of the semantic measures is to compare pairs of concepts, words, sentences or named entities. Their categorization depends on what they measure. If a measure only considers taxonomy relationships is a similarity measure; if it considers all type of relationships it is a relatedness measure. The evaluation process of these measures usually relies on semantic gold standards. These datasets, with several pairs of words with a rating assigned by persons, are used to assess how well a semantic measure performs. There are a few frameworks that provide tools to compute and analyze several well-known measures. This paper presents a novel tool - SMComp - a testbed designed for path-based semantic measures. At its current state, it is a domain-specific tool using three different versions of WordNet. SMComp has two views: one to compute semantic measures of a pair of words and another to assess a semantic measure using a dataset. On the first view, it offers several measures described in the literature as well as the possibility of creating a new measure, by introducing Java code snippets on the GUI. The other view offers a large set of semantic benchmarks to use in the assessment process. It also offers the possibility of uploading a custom dataset to be used in the assessment. © Teresa Costa and José Paulo Leal;licensed under Creative Commons License CC-BY. en
dc.identifier P-00K-K0F en
dc.identifier.uri https://repositorio.inesctec.pt/handle/123456789/14265
dc.language eng en
dc.rights info:eu-repo/semantics/openAccess en
dc.title Comparing and Benchmarking Semantic Measures Using SMComp en
dc.type en
dc.type Publication en
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