- From: Roberto Navigli <navigli@di.uniroma1.it>
- Date: Wed, 23 Sep 2015 07:31:18 +0200
- To: undisclosed-recipients:;
- Message-ID: <CAESezik8x_UCHVMVeZ8+GQv_-qTSWqkgG-CcebsHh04vK8e0LQ@mail.gmail.com>
[apologies for cross-postings] ============================= RELEASE OF BABELNET 3.5 http://babelnet.org ============================= As an output of the "MultiJEDI" Starting Grant, funded by the European Research Council and headed by Prof. Roberto Navigli <http://wwwusers.di.uniroma1.it/~navigli>, the Linguistic Computing Laboratory <http://lcl.uniroma1.it> of the Sapienza University of Rome is proud to announce the release of BabelNet 3.5. BabelNet 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, Open Multilingual WordNet, Wikiquote, VerbNet, Microsoft Terminology, GeoNames, WoNeF, and ImageNet. The integration is performed via a high-performance linking algorithm and by filling in lexical gaps with the aid of Machine Translation. The result is an encyclopedic dictionary that provides Babel synsets, i.e., concepts and named entities lexicalized in many languages and connected with large amounts of semantic relations. Version 3.5 comes with the following new features: * Improved user interface <http://babelnet.org> * 272 languages now covered! * New resources integrated: Wikiquote, VerbNet, Microsoft Terminology, GeoNames, WoNeF and ImageNet. * 13.8M Babel synsets and 119M Babel senses * 1.5M synsets associated with domains (e.g. http://babelnet.org/search?word=house&lang=EN) * 700K compounds linked to synsets (e.g. http://babelnet.org/synset?word=bn:00005054n&details=1&orig=apple&lang=EN and then click “Compounds” on the left menu) * Now a very large knowledge base, with 380M semantic relations among which 58M are labeled, with an inventory of 2655 distinct relation types. * Fully taxonomized thanks to the seamless integration of our multilingual Wikipedia Bitaxonomy <http://wibitaxonomy.org/> * 10M synset-associated images and 40.6M textual definitions * A new, improved version of the Java and HTTP RESTful API < http://babelnet.org/download> * High-performance *word sense disambiguation *and *entity linking *with Babelfy <http://babelfy.org> *in *any* language *(including a *language-agnostic *setting!) * *Explicit and latent vector representations *for millions of concepts and named entities with *NASARI *and *SensEmbed *for state-of-the-art semantic similarity (see http://babelnet.org/papers)! More statistics are available at: http://babelnet.org/stats <http://babelnet.org/stats.jsp> Enjoy! -- ===================================== Roberto Navigli Dipartimento di Informatica Sapienza University of Rome Viale Regina Elena 295b (building G, second floor) 00161 Roma Italy Phone: +39 0649255161 - Fax: +39 06 49918301 Home Page: http://wwwusers.di.uniroma1.it/~navigli =====================================
Received on Wednesday, 23 September 2015 05:32:10 UTC