![]() Training Set The whole manually annotated dataset is available at the dataset page. IMAGACT English verbs related to the linked scenesīabelNet English verbs related to the linked BS This sense inventory is a broadly adopted naming convention for word senses, and such identifiers can. General data about the algorithm used, the training set and the amount of linked entities are reported below.ĭata about linking IMAGACT scenes linked to BS The SID dataset contains BabelNet sense identifiers. For simplicity verb search is available in two languages only: Italian and English. Scenes and BabelSynsets are represented by their ID and they can be visualized by clicking the Viceversa, to search a BabelSynset through a list of BabelNet verbs and see all the scenes linked to it. Thanks to WordNet keys (version 3.0) we could easily map the old BabelNet synset id with the new synset id associated to that sense key in BabelNet 4.0. senses are identified by property babelnet:sense. To create the new datasets, whenever possible, we used the WordNet sense keys provided with the original data. BabelNet 2.5 BabelNet is both a multilingual encyclopedic dictionary, with lexicographic and encyclopedic coverage of terms, and a semantic network which connects concepts and named entities in a very large network of semantic relations, made up of more than 9 million entries, called Babel synsets. The two links above allow to explore the results of the linking procedure: it's possible to search an IMAGACT scene through a list of IMAGACT verbs and see all the BabelSynset that are linked to it or, We present an automatic approach to the construction of BabelNet, a very large, wide-coverage multilingual semantic network. entries are WordNet like synsets identified by babelnet id (synsetId). This page reports the results of the IMAGACT-BabelNet linking algorithm. Search Scene (through IM verbs) Search BabelSynset (through BN verbs)
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