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- W2575606482 abstract "Herein we present a study dealing with the linking of two multilingual and multimedia resources, BabelNet and IMAGACT, which seeks to connect videos contained in the IMAGACT Ontology of Actions with related action concepts in BabelNet. The linking is based on a machine learning algorithm that exploits the lexical information of the two resources. The algorithm has been firstly trained and tested on a manually annotated dataset and then it was run on all the data, allowing to connect 773 IMAGACT action videos with 517 BabelNet synsets. This linkage aims to enrich BabelNet verbal entries with a visual representations and to connect the IMAGACT ontology to the huge BabelNet semantic network." @default.
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- W2575606482 date "2016-01-01" @default.
- W2575606482 modified "2023-09-26" @default.
- W2575606482 title "Linking IMAGACT ontology to BabelNet through action videos" @default.
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- W2575606482 doi "https://doi.org/10.4000/books.aaccademia.1785" @default.
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