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Reducing Large Semantic Graphs to Improve Semantic Relatedness

Title
Reducing Large Semantic Graphs to Improve Semantic Relatedness
Type
Article in International Conference Proceedings Book
Year
2015
Authors
Costa, T
(Author)
Other
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José Paulo Leal
(Author)
FCUP
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Conference proceedings International
Pages: 236-245
4th International Symposium on Languages, Applications and Technologies (SLATE)
Complutense Univ Madrid, Fac Philol, Madrid, SPAIN, JUN 18-19, 2015
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Other information
Authenticus ID: P-00K-329
Abstract (EN): In the previous research the authors developed a family of semantic measures that are adaptable to any semantic graph, being automatically tuned with a set of parameters. The research presented in this paper extends this approach by also tuning the graph. This graph reduction procedure starts with a disconnected graph and incrementally adds edge types, until the quality of the semantic measure cannot be further improved. The validation performed used the three most recent versions of WordNet and, in most cases, this approach improves the quality of the semantic measure.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 10
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