Named Entity Recognition for Entity Linking: What Works and What's Next. - Simone Tedeschi; Simone Conia; Francesco Cecconi; Roberto Navigli (EMNLP (Findings), 2021)

WikiNEuRal: Combined Neural and Knowledge-based Silver Data Creation for Multilingual NER. - Simone Tedeschi; Valentino Maiorca; Niccolò Campolungo; Francesco Cecconi; Roberto Navigli (EMNLP (Findings), 2021)

ID10M: Idiom Identification in 10 Languages. - Simone Tedeschi; Federico Martelli; Roberto Navigli (NAACL-HLT (Findings), 2022)

MultiNERD: A Multilingual, Multi-Genre and Fine-Grained Dataset for Named Entity Recognition (and Disambiguation). - Simone Tedeschi; Roberto Navigli (NAACL-HLT (Findings), 2022)

NER4ID at SemEval-2022 Task 2: Named Entity Recognition for Idiomaticity Detection. - Simone Tedeschi; Roberto Navigli (SemEval@NAACL, 2022)

Focusing on Context is NICE: Improving Overshadowed Entity Disambiguation. - Vera Provatorova; Simone Tedeschi; Svitlana Vakulenko; Roberto Navigli; Evangelos Kanoulas (CoRR, 2022)

EUREKA: EUphemism Recognition Enhanced through Knn-based methods and Augmentation. - Sedrick Scott Keh; Rohit Bharadwaj 001; Emmy Liu; Simone Tedeschi; Varun Gangal; Roberto Navigli (CoRR, 2022)

REDFM: a Filtered and Multilingual Relation Extraction Dataset. - Pere-Lluís Huguet Cabot; Simone Tedeschi; Axel-Cyrille Ngonga Ngomo; Roberto Navigli (ACL (1), 2023)

What's the Meaning of Superhuman Performance in Today's NLU? - Simone Tedeschi; Johan Bos; Thierry Declerck; Jan Hajic; Daniel Hershcovich; Eduard H. Hovy; Alexander Koller; Simon Krek; Steven Schockaert; Rico Sennrich; Ekaterina Shutova; Roberto Navigli (ACL (1), 2023)

Analyzing Homonymy Disambiguation Capabilities of Pretrained Language Models. - Lorenzo Proietti 002; Stefano Perrella; Simone Tedeschi; Giulia Vulpis; Leonardo Lavalle; Andrea Sanchietti; Andrea Ferrari; Roberto Navigli (LREC/COLING, 2024)

Language Pivoting from Parallel Corpora for Word Sense Disambiguation of Historical Languages: A Case Study on Latin. - Iacopo Ghinassi; Simone Tedeschi; Paola Marongiu; Roberto Navigli; Barbara McGillivray (LREC/COLING, 2024)

CroCoAlign: A Cross-Lingual, Context-Aware and Fully-Neural Sentence Alignment System for Long Texts. - Francesco Molfese 001; Andrei Stefan Bejgu; Simone Tedeschi; Simone Conia; Roberto Navigli (EACL (1), 2024)

CNER: Concept and Named Entity Recognition. - Giuliano Martinelli 001; Francesco Molfese 001; Simone Tedeschi; Alberte Fernández-Castro; Roberto Navigli (NAACL-HLT, 2024)

Aurora-M: The First Open Source Multilingual Language Model Red-teamed according to the U.S. Executive Order. - Taishi Nakamura; Mayank Mishra; Simone Tedeschi; Yekun Chai; Jason T. Stillerman; Felix Friedrich; Prateek Yadav; Tanmay Laud; Minh Chien Vu; Terry Yue Zhuo; Diganta Misra; Ben Bogin; et al. (CoRR, 2024)

ALERT: A Comprehensive Benchmark for Assessing Large Language Models' Safety through Red Teaming. - Simone Tedeschi; Felix Friedrich; Patrick Schramowski; Kristian Kersting; Roberto Navigli; Huu Nguyen; Bo Li (CoRR, 2024)

Truth or Mirage? Towards End-to-End Factuality Evaluation with LLM-Oasis. - Alessandro Scirè; Andrei Stefan Bejgu; Simone Tedeschi; Karim Ghonim; Federico Martelli; Roberto Navigli (CoRR, 2024)

LLMs Lost in Translation: M-ALERT uncovers Cross-Linguistic Safety Gaps. - Felix Friedrich; Simone Tedeschi; Patrick Schramowski; Manuel Brack; Roberto Navigli; Huu Nguyen; Bo Li; Kristian Kersting (CoRR, 2024)

How Much Do Encoder Models Know About Word Senses? - Simone Teglia; Simone Tedeschi; Roberto Navigli (ACL (1), 2025)

Aurora-M: Open Source Continual Pre-training for Multilingual Language and Code. - Taishi Nakamura; Mayank Mishra; Simone Tedeschi; Yekun Chai; Jason T. Stillerman; Felix Friedrich; Prateek Yadav; Tanmay Laud; Minh Chien Vu; Terry Yue Zhuo; Diganta Misra; Ben Bogin; et al. (COLING (Industry), 2025)

MMTEB: Massive Multilingual Text Embedding Benchmark. - Kenneth C. Enevoldsen; Isaac Chung; Imene Kerboua; Márton Kardos; Ashwin Mathur; David Stap; Jay Gala; Wissam Siblini; Dominik Krzeminski; Genta Indra Winata; Saba Sturua; Saiteja Utpala; et al. (CoRR, 2025)