Babelscape is committed to carrying 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.

All Babelscape products are the result of important investments in Research & Development (R&D), which are covered by the following macro-projects:

  • Semantic Natural Language Understanding: probably the most central goal of our company is to devise novel approaches that can determine the meaning of texts independently of the language they are written in, by associating words and phrases with concepts (Word Sense Disambiguation), entities (entity linking), predicates and their arguments (Semantic Role Labeling), the meaning structure formalisms (semantic parsing) etc.
  • Personalizable Multilingual Knowledge Graphs, by creating large multilingual domain-oriented or need-oriented knowledge graphs starting from datasets and term banks.
  • TraDeInterpret, where we enable the semantic interpretation of strings (trademarks) across all EU languages depending on the Nice classes and the Goods & Services description of the trademark.
  • KnowGraphs, a scientific project involving 15 Early-Stage Researchers, 2 of which are Babelscape's employees (see below).

Babelscape is currently funding 5 industrial PhD positions for its employees based on agreements with the Sapienza University of Rome to carry out research.

Scientific Projects

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.


Stefano Perrella, Lorenzo Proietti, Alessandro Scirè, Edoardo Barba, Roberto Navigli
Guardians of the Machine Translation Meta-Evaluation Sentinel Metrics Fall In!
Proceedings of ACL 2024
Roberto Navigli, Pasquale Silvestri, Marco Lo Pinto, Dennis Rotondi, Simone Ciciliano, Alessandro Scirè
NounAtlas: Filling the Gap in Nominal Semantic Role Labeling
Proceedings of ACL 2024
Andrei Stefan Bejgu, Edoardo Barba, Luigi Procopio, Alberte Fernández-Castro, Roberto Navigli
Word Sense Linking: Disambiguating Outside the Sandbox
ACL 2024
Alessandro Scirè, Karim Ghonim, Roberto Navigli
FENICE: Factuality Evaluation of summarization based on NLI and Claim Extraction
ACL 2024
Simone Tedeschi, Felix Friedrich, Patrick Schramowski, Kristian Kersting, Roberto Navigli, Huu Nguyen, Bo Li
ALERT: A Comprehensive Benchmark for Assessing Large Language Models' Safety through Red Teaming
T. Nakamura, M. Mishra, S. Tedeschi, Y. Chai, J. Stillerman, F. Friedrich, P. Yadav, T. Laud, V. Chien, T. Zhuo, D. Misra, B. Bogin, X. Vu, M. Karpinska, A. Dantuluri, W. Kusa, T. Furlanello, R. Yokota, N. Muennighoff, S. Pai, T. Adewumi, V. Laippala, X. Yao, A. Junior, A. Ariyak, A. Drozd, J. Clive, K. Gupta, L. Chen, Q. Sun, K. Tsui, N. Persaud, N. Fahmy, T. Chen, M. Bansal, N. Monti, T. Dang, Z. Luo, T. Bui, R. Navigli, V. Mehta, M. Blumberg, V. May, H. Nguyen, S. Pyysalo
Aurora-M: The First Open Source Multilingual Language Model Red-teamed according to the U.S. Executive Order
Giuliano Martinelli, Francesco Maria Molfese, Simone Tedeschi, Alberte Fernández-Castro, Roberto Navigli
CNER: Concept and Named Entity Recognition
Proceedings of NAACL 2024
Simone Conia, Edoardo Barba, Abelardo Carlos Martínez Lorenzo, Pere-Lluís Huguet Cabot, Riccardo Orlando, Luigi Procopio, Roberto Navigli
MOSAICo: a Multilingual Open-text Semantically Annotated Interlinked Corpus
Proceedings of NAACL 2024
Francesco Maria Molfese, Andrei Stefan Bejgu, Simone Tedeschi, Simone Conia, Roberto Navigli
CroCoAlign: A Cross-Lingual, Context-Aware and Fully-Neural Sentence Alignment System for Long Texts
Proceedings of EACL 2024
F. Martelli, A.S. Bejgu, C. Campagnano, J. Čibej, R. Costa, A. Gantar, J. Kallas, S. Peneva Koeva, K. Koppel, S. Krek, M. Langemets, V. Lipp, S. Nimb, S. Olsen, B.S. Pedersen, V. Quochi, A. Salgado, L. Simon, C. Tiberius, R. Ureña-Ruiz, R. Navigli
XL-WA: a Gold Evaluation Benchmark for Word Alignment in 14 Language Pairs
Proceedings of CLiC-it 2023
S. Tedeschi, J. Bos, T. Declerck, J. Hajic, D. Hershcovich, E.H. Hovy, A. Koller, S. Krek, S. Schockaert, R. Sennrich, E. Shutova, R. Navigli
What's the Meaning of Superhuman Performance in Today's NLU?
Proceedings of ACL 2023
Outstanding Paper Award
Pere-Lluís Huguet Cabot, Simone Tedeschi, Axel-Cyrille Ngonga Ngomo, Roberto Navigli
REDFM: a Filtered and Multilingual Relation Extraction Dataset
Proceedings of ACL 2023
Alessandro Scirè, Simone Conia, Simone Ciciliano, Roberto Navigli
Echoes from Alexandria: A Large Resource for Multilingual Book Summarization
Findings of ACL 2023
Pavlo Vasylenko, Pere-Lluís Huguet Cabot, Abelardo Carlos Martínez Lorenzo, Roberto Navigli
Incorporating Graph Information in Transformer-based AMR Parsing
Findings of ACL 2023
Abelardo Carlos Martínez Lorenzo, Pere-Lluís Huguet Cabot, Roberto Navigli
AMRs Assemble! Learning to Ensemble with Autoregressive Models for AMR Parsing
Proceedings of ACL 2023
Abelardo Carlos Martínez Lorenzo, Pere-Lluís Huguet Cabot, Roberto Navigli
Cross-lingual AMR Aligner: Paying Attention to Cross-Attention
Findings of ACL 2023
Stefano Perrella, Lorenzo Proietti, Alessandro Scirè, Niccolò Campolungo, Roberto Navigli
MaTESe: Machine Translation Evaluation as a Sequence Tagging Problem
Proceedings of the Seventh Conference on Machine Translation (WMT 2022)
Sedrick Keh, Rohit Bharadwaj, Emmy Liu, Simone Tedeschi, Varun Gangal, Roberto Navigli
EUREKA: EUphemism Recognition Enhanced through Knn-based methods and Augmentation
Third Workshop on Figurative Language (EMNLP 2022)
Simone Conia, Edoardo Barba, Alessandro Scirè, Roberto Navigli
Semantic Role Labeling Meets Definition Modeling: Using Natural Language to Describe Predicate Argument Structures
Findings of EMNLP 2022
Abelardo Carlos Martìnez Lorenzo, Marco Maru, Roberto Navigli
Fully-Semantic Parsing and Generation: the BabelNet Meaning Representation
Proceedings of ACL 2022
Simone Tedeschi, Federico Martelli, Roberto Navigli
ID10M: Idiom Identification in 10 Languages
Findings of NAACL 2022
Simone Tedeschi, Roberto Navigli
NER4ID at SemEval-2022 Task 2: Named Entity Recognition for Idiomaticity Detection
Proceedings of SemEval 2022
Roberto Navigli, Rexhina Blloshmi, Abelardo Carlos Martìnez Lorenzo
BabelNet Meaning Representation: A Fully Semantic Formalism to Overcome Language Barriers
Proceedings of AAAI-22
Pere-Lluis Huguet Cabot, Roberto Navigli
REBEL: Relation Extraction By End-to-end Language generation
Findings of 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
Proceedings of 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
Proceedings of 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
Proceedings of 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
Findings of 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
Findings of EMNLP 2021: pp. 2521-2533
Roberto Navigli, Michele Bevilacqua, Simone Conia, Dario Montagnini, Francesco Cecconi
Ten Years of BabelNet: A Survey
Proceedings of 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
Proceedings of EACL 2021: pp. 1921-1945
Simone Conia, Fabrizio Brignone, Davide Zanfardino, Roberto Navigli
InVeRo: Making Semantic Role Labeling Accessible with Intelligible Verbs and Roles
Proceedings of 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
Proceedings of ACL 2020: pp. 37-46
Marco Maru, Federico Scozzafava, Federico Martelli, Roberto Navigli
SyntagNet: Challenging Supervised Word Sense Disambiguation with Lexical-Semantic Combinations
Proceedings of EMNLP/IJCNLP 2019: pp. 3532-3538

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