Announcement: Release of BabelNet 5.3

Release of BabelNet 5.3

https://babelnet.org

We are proud to announce the release of a new version of BabelNet
<https://babelnet.org/> and its programmatic *Java and Python API*,
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* e.g. to be
integrated into *deep learning solutions*. It has been used by more than *1000
universities and research institutions*, enabling multilinguality in
several fields of AI and NLP, such as multilingual semantic search, Word
Sense Disambiguation and Entity Linking, 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 5.3* ships with the following features:

   - *80 new languages* for a grand total of *600 languages*;
   - *23 million synsets* covered;
   - *Lemma casing updated in 24 languages*;
   - *Wikipedia and Wikidata updated* thanks to BabelNet live (November
   2023 dump);
   - *Open English WordNet* has been updated to version 2023;
   - *Images* associated with synsets have been updated;
   - *Wiktionary* has been *updated* and *20k new concepts* have been
   integrated (November 2023 dump);
   - *Significantly improved cross-lingual resource mapping*, ensuring more
   accurate and contextually relevant lexicalizations and translations;
   - *General data cleanup* (glosses, senses, Named Entity vs. Concept
   labels);
   - *Wikipedia multilingual labels updated.*

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

Kind regards,
The BabelNet group
-- 
==============================================
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>
==============================================