Difference between revisions of "Augmenting Concept Definition in Gloss Vector Semantic Relatedness Measure Using Wikipedia Articles"

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[[Category:Scientific works]]

Latest revision as of 16:38, 21 June 2020


Augmenting Concept Definition in Gloss Vector Semantic Relatedness Measure Using Wikipedia Articles
Authors
Ahmad Pesaranghader
Ali Pesaranghader
Azadeh Rezaei
Publication date
2014
DOI
10.1007/978-981-4585-18-7_70
Links
Original

Augmenting Concept Definition in Gloss Vector Semantic Relatedness Measure Using Wikipedia Articles - scientific work related to Wikipedia quality published in 2014, written by Ahmad Pesaranghader, Ali Pesaranghader and Azadeh Rezaei.

Overview

Semantic relatedness measures are widely used in text mining and information retrieval applications. Considering these automated measures, in this research paper authors attempt to improve Gloss Vector relatedness measure for more accurate estimation of relatedness between two given concepts. Generally, this measure, by constructing concepts definitions (Glosses) from a thesaurus, tries to find the angle between the concepts’ gloss vectors for the calculation of relatedness. Nonetheless, this definition construction task is challenging as thesauruses do not provide full coverage of expressive definitions for the particularly specialized concepts. By employing Wikipedia articles and other external resources, authors aim at augmenting these concepts’ definitions. Applying both definition types to the biomedical domain, using MEDLINE as corpus, UMLS as the default thesaurus, and a reference standard of 68 concept pairs manually rated for relatedness, authors show exploiting available resources on the Web would have positive impact on final measurement of semantic relatedness.

Embed

Wikipedia Quality

Pesaranghader, Ahmad; Pesaranghader, Ali; Rezaei, Azadeh. (2014). "[[Augmenting Concept Definition in Gloss Vector Semantic Relatedness Measure Using Wikipedia Articles]]". Springer, Singapore. DOI: 10.1007/978-981-4585-18-7_70.

English Wikipedia

{{cite journal |last1=Pesaranghader |first1=Ahmad |last2=Pesaranghader |first2=Ali |last3=Rezaei |first3=Azadeh |title=Augmenting Concept Definition in Gloss Vector Semantic Relatedness Measure Using Wikipedia Articles |date=2014 |doi=10.1007/978-981-4585-18-7_70 |url=https://wikipediaquality.com/wiki/Augmenting_Concept_Definition_in_Gloss_Vector_Semantic_Relatedness_Measure_Using_Wikipedia_Articles |journal=Springer, Singapore}}

HTML

Pesaranghader, Ahmad; Pesaranghader, Ali; Rezaei, Azadeh. (2014). &quot;<a href="https://wikipediaquality.com/wiki/Augmenting_Concept_Definition_in_Gloss_Vector_Semantic_Relatedness_Measure_Using_Wikipedia_Articles">Augmenting Concept Definition in Gloss Vector Semantic Relatedness Measure Using Wikipedia Articles</a>&quot;. Springer, Singapore. DOI: 10.1007/978-981-4585-18-7_70.