High-performance word sense disambiguation and entity linking with Babelfy in any language (including a language-agnostic setting!).A new, improved version of the Java and HTTP RESTful API.10M synset-associated images and 40.6M textual definitions.Fully taxonomized thanks to the seamless integration of our multilingual Wikipedia Bitaxonomy.Now a very large knowledge base, with 380M semantic relations among which 58M are labeled, with an inventory of 2655 distinct relation types.here and then click “Compounds” on the left menu) 700K compounds linked to synsets (e.g.1.5M synsets associated with domains (e.g.13.8M Babel synsets and 119M Babel senses.New resources integrated: Wikiquote, VerbNet, Microsoft Terminology, GeoNames, WoNeF and ImageNet. Version 3.5 comes with the following new features: The result is an encyclopedic dictionary that provides Babelsynsets, i.e., concepts and named entities lexicalized in many languages and connected with large amounts of semantic relations. The integration is performed via a high-performance linking algorithm and by filling in lexical gaps with the aid of Machine Translation. Roberto Navigli, the Linguistic Computing Laboratory of the Sapienza University of Rome is proud to announce the release of BabelNet 3.5.īabelNet is the largest multilingual encyclopedic dictionary and semantic network created by means of the seamless integration of the largest multilingual Web encyclopedia - i.e., Wikipedia - with the most popular computational lexicon of English - i.e., WordNet, and other lexical semantic resources such as Wiktionary, OmegaWiki, Wikidata, OpenMultilingual WordNet, Wikiquote, VerbNet, Microsoft Terminology, GeoNames, WoNeF, and ImageNet. As an output of the "MultiJEDI" Starting Grant, funded by the European Research Council and headed by Prof.
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