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Roberto Navigli

Computer scientist From Wikipedia, the free encyclopedia

Roberto Navigli
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Roberto Navigli (born 1978) is an Italian computer scientist and professor in the Department of Computer, Control and Management Engineering "Antonio Ruberti" at the Sapienza University of Rome,[3] where he is also the director of the Sapienza NLP Group.[4]

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Education

Navigli obtained his Master of Science degree in Computer Science in 2001 at Sapienza University of Rome, followed, in 2007, by a PhD from the same institution, under the supervision of Paola Velardi.[2] Navigli's doctoral thesis focused on devising and evaluating an innovative knowledge-based algorithm for Word Sense Disambiguation, named Structural Semantic Interconnections.[5]

Career and research

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Navigli's research focuses on Artificial Intelligence, specifically on enabling computers to understand and represent meaning across hundreds of languages, making significant contributions to various fields within Natural Language Processing, including Word Sense Disambiguation, Entity Linking, Semantic Role Labeling and semantic parsing.[1]

In 2011, Navigli was granted a European Research Council (ERC) Starting Grant[6] to create BabelNet, a multilingual knowledge graph and "the largest lexicon/encyclopedia/thesaurus/reference work on the web"[7] that, using disambiguation algorithms, brings together knowledge from resources including WordNet, Wikipedia, Wiktionary and Wikidata. BabelNet featured in a Time magazine article as a prototype of "dictionary of the future"[8]. Being based on the notion of multilingual synset, BabelNet provides the multilingual inventory that enables Word Sense Disambiguation algorithms, such as Babelfy, to work in hundreds of languages simultaneously.[7]

Navigli was later granted a subsequent ERC Consolidator Grant[9] to work on sentence-level, language-independent semantic representations, leading to the BabelNet Meaning Representation and its semantic parser, with the goal of creating 'the DNA of language'.[10] These two ERC grants have been highlighted among the 15 projects through which the ERC transformed science.[11][12][13] In 2024, together with Nobel Prize laureate Anne L'Huillier and Patrik Verstreken, he opened the European Union Research and Innovation Week[14][15].

In 2016, Navigli founded Babelscape,[16] a university spinoff company, focused on multilingual neuro-symbolic Natural Language Understanding.[17] In 2025, he led the Babelscape team responsible for the development and production of the language capabilities of the robot Adriano, created for the Rome Chamber of Commerce, and referred to as "the first robotic employee in the public administration."[18][19].

In the field of generative artificial intelligence[20], he leads the development of Minerva, the first Large Language Model to be both pretrained from scratch[21][22] and instructed in Italian[23][24].

From 2013 to 2020, he was Associate Editor of the Artificial Intelligence journal.[25] In 2025, he is General Chair of the Annual Meeting of the Association for Computational Linguistics.[26]

Awards

  • AAAI Fellow, 2025, "for significant contributions to multilingual Natural Language Understanding, and development of widely recognized methods for knowledge resource construction, text disambiguation, and semantic parsing."[27]
  • EurAI Fellow, 2024, "for his seminal contributions to various areas of Natural Language Processing, including his pioneering work on multilingual and cross-lingual Natural Language Understanding"[28][29]
  • ELLIS Fellow, 2024, European Laboratory for Learning and Intelligent Systems, awarded to "high-caliber scientists advancing the field"[30]
  • ACL Fellow, 2023, "for significant contributions to multilingual lexical-semantic resources and a unifying vision for multilingual lexical and sentence-level semantics"[31]
  • Winner of an Outstanding Paper Award at ACL 2024,[32] ACL 2023[33] and NAACL 2021[34]
  • Winner of the 2023 Artificial Intelligence Journal Prominent Paper Award "for outstanding contributions to the multilingual representation of meanings in the form of lexical and semantic, latent and explicit vectors."[35]
  • Winner of the Best Resource Paper Award at ACL 2022[36]
  • Winner of the 2017 Artificial Intelligence Journal Prominent Paper Award for "outstanding contributions to the automatic construction of large knowledge bases and semantic networks from public domain sources such as Wikipedia and WordNet."[35]
  • META Prize 2015 "for groundbreaking work in overcoming language barriers through a multilingual lexicalised semantic network and ontology making use of heterogeneous data sources"[37]
  • Marco Somalvico AIxIA [it] 2013 Biannual Prize awarded to the best young Italian researcher in AI[38]
  • Marco Cadoli AIxIA [it] 2007 Prize for the Best Ph.D. Thesis in AI[39]

Selected publications

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References

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