Babelscape is committed to carry out research and develop technological innovation at the highest level in the field of multilingual Natural Language Understanding with a strong emphasis on neuro-symbolic approaches which combine knowledge graphs with deep learning models.


Babelscape is involved in cutting-edge research projects, including the following EU-funded Initial Training Network:

KnowGraphs logo


Knowledge graphs (KGs) are a flexible knowledge representation paradigm intended to allow knowledge to be consumed by humans and machines. KGs are widely regarded as a key enabler for a number of increasingly popular technologies including Web search, question answering, personal assistants and AI across most sectors including Industry 4.0, personalized medicine, legislation, economics and more. KGs are now used by several large companies as a key component of their data products. However, while they are rightly praised as a key technology for all future data-driven enterprises and regarded as a promising approach towards “blurring the lines between human and machine”, KGs are currently unattainable for the majority of companies and users.


Pere-Lluis Huguet Cabot, Roberto Navigli
REBEL: Relation Extraction By End-to-end Language generation
EMNLP 2021: pp. 2370-2381
Rexhina Blloshmi, Michele Bevilacqua, Edoardo Fabiano, Valentina Caruso, Roberto Navigli
SPRING Goes Online: End-to-End AMR Parsing and Generation
EMNLP 2021: pp. 134-142
Simone Conia, Riccardo Orlando, Fabrizio Brignone, Francesco Cecconi, Roberto Navigli
InVeRo-XL: Making Cross-Lingual Semantic Role Labeling Accessible with Intelligible Verbs and Roles
EMNLP 2021: pp. 319-328
Riccardo Orlando, Simone Conia, Fabrizio Brignone, Francesco Cecconi, Roberto Navigli
AMuSE-WSD: An All-in-one Multilingual System for Easy Word Sense Disambiguation
EMNLP 2021: pp. 329-307
Simone Tedeschi, Simone Conia, Francesco Cecconi, Roberto Navigli
Named Entity Recognition for Entity Linking: What Works and What's Next
EMNLP 2021: pp. 2584-2596
Simone Tedeschi, Valentino Maiorca, Niccolò Campolungo, Francesco Cecconi, Roberto Navigli
WikiNEuRal: Combined Neural and Knowledge-based Silver Data Creation for Multilingual NER
EMNLP 2021: pp. 2521-2533
Roberto Navigli, Michele Bevilacqua, Simone Conia, Dario Montagnini, Francesco Cecconi
Ten Years of BabelNet: A Survey
IJCAI 2021: pp. 4559-4567
Pere-Lluís Huget Cabot, David Abadi, Agneta Fischer, Ekaterina Shutova
Us vs. Them: A Dataset of Populist Attitudes, News Bias and Emotions
EACL 2021: pp. 1921-1945
Simone Conia, Fabrizio Brignone, Davide Zanfardino, Roberto Navigli
InVeRo: Making Semantic Role Labeling Accessible with Intelligible Verbs and Roles
EMNLP 2020: pp. 77-84
Federico Scozzafava, Marco Maru, Fabrizio Brignone, Giovanni Torrisi, Roberto Navigli
Personalized PageRank with Syntagmatic Information for Multilingual Word Sense Disambiguation
ACL 2020: pp. 37-46
Marco Maru, Federico Scozzafava, Federico Martelli, Roberto Navigli
SyntagNet: Challenging Supervised Word Sense Disambiguation with Lexical-Semantic Combinations
EMNLP/IJCNLP 2019: pp. 3532-3538

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