Announcement: Release of BabelNet 5.2

Release of BabelNet 5.2

https://babelnet.org

We are proud to announce the release of a new version of BabelNet
<https://babelnet.org/>, its Virtuoso SPARQL endpoint and its programmatic
APIs, both for Java and Python, developed jointly by the Sapienza NLP Group
<http://nlp.uniroma1.it> of Sapienza University of Rome under the
supervision of prof. Roberto Navigli <https://www.diag.uniroma1.it/navigli/>
and Babelscape <http://babelscape.com/>, a deep-tech multilingual NLP
company providing innovative solutions for natural language understanding.

BabelNet -- winner of the prominent paper award 2017 from the Artificial
Intelligence Journal and the META prize 2015, and covered in media such as The
Guardian
<https://www.theguardian.com/news/2018/feb/23/oxford-english-dictionary-can-worlds-biggest-dictionary-survive-internet>
and Time magazine
<http://wwwusers.di.uniroma1.it/~navigli/img/Redefining_the_modern_dictionary.png>
-- is today’s most far-reaching multilingual lexical-semantic knowledge
graph which, according to need, can be used as an encyclopedic dictionary,
or a semantic network or a huge knowledge base/ontology. It has been used
by more than 1000 universities and research institutions, enabling
multilinguality in several fields of AI and NLP, such as semantic search,
Word Sense Disambiguation, Semantic Role Labeling, image tagging and
semantically-enhanced multimodality.

BabelNet was created by means of the seamless integration and interlinking
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 Wikidata, Wiktionary, OmegaWiki, dozens
of wordnets (including Open English WordNet), GeoNames, and ImageNet. The
BabelNet model is centered around multilingual synsets, i.e., concepts and
named entities lexicalized in many languages, and connected with large
amounts of semantic relations.

Version 5.2 ships with the following features:

   -

   21 new languages for a grand total of 520 languages;
   -

   22 million synsets covered;
   -

   Wikipedia and Wikidata updated thanks to BabelNet live (October 2022
   dump);
   -

   Wiktionary has been updated and 45k new concepts have been integrated
   (October 2022 dump);
   -

   Lemma casing updated in 24 languages;


   -

   Images associated with synsets have been updated;
   -

   Cross-resource mapping updated;
   - *Domain labels updated*;
   -

   Wikipedia labels are *now *multilingual.

More statistics are available at: babelnet.org/statistics.

Kind regards,
The BabelNet Team

-- 
==============================================
Roberto Navigli* - Professor*
Department of Computer, Control and Management Engineering
Sapienza University of Rome
Via Ariosto, 25
00185 Roma Italy
Phone: +39 06 77274109
Home Page: https://www.diag.uniroma1.it/navigli/
Sapienza NLP Group: http://nlp.uniroma1.it
Co-founder of Babelscape <https://babelscape.com>
==============================================