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Simone Tedeschi
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2020 – today
- 2024
- [c11]Lorenzo Proietti, Stefano Perrella, Simone Tedeschi, Giulia Vulpis, Leonardo Lavalle, Andrea Sanchietti, Andrea Ferrari, Roberto Navigli:
Analyzing Homonymy Disambiguation Capabilities of Pretrained Language Models. LREC/COLING 2024: 924-938 - [c10]Iacopo Ghinassi, Simone Tedeschi, Paola Marongiu, Roberto Navigli, Barbara McGillivray:
Language Pivoting from Parallel Corpora for Word Sense Disambiguation of Historical Languages: A Case Study on Latin. LREC/COLING 2024: 10073-10084 - [c9]Francesco 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. EACL (1) 2024: 2209-2220 - [c8]Giuliano Martinelli
CNER: Concept and Named Entity Recognition. NAACL-HLT 2024: 8336-8351 - [i6]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, Xuan-Son Vu, Marzena Karpinska, Arnav Varma Dantuluri, Wojciech Kusa, Tommaso Furlanello, Rio Yokota, Niklas Muennighoff, Suhas Pai, Tosin P. Adewumi, Veronika Laippala, Xiaozhe Yao, Adalberto Junior, Alpay Ariyak, Aleksandr Drozd, Jordan Clive, Kshitij Gupta, Liangyu Chen, Qi Sun, Ken Tsui, Noah Persaud, Nour Moustafa-Fahmy, Tianlong Chen, Mohit Bansal, Nicolo Monti, Tai Dang, Ziyang Luo, Tien-Tung Bui, Roberto Navigli, Virendra Mehta, Matthew Blumberg, Victor May, Huu Nguyen, Sampo Pyysalo:
Aurora-M: The First Open Source Multilingual Language Model Red-teamed according to the U.S. Executive Order. CoRR abs/2404.00399 (2024) - [i5]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. CoRR abs/2404.08676 (2024) - 2023
- [c7]Pere-Lluís Huguet Cabot, Simone Tedeschi, Axel-Cyrille Ngonga Ngomo, Roberto Navigli:
REDFM: a Filtered and Multilingual Relation Extraction Dataset. ACL (1) 2023: 4326-4343 - [c6]Simone Tedeschi, Johan Bos, Thierry Declerck, Jan Hajic, Daniel Hershcovich, Eduard H. Hovy, Alexander Koller
What's the Meaning of Superhuman Performance in Today's NLU? ACL (1) 2023: 12471-12491 - [i4]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:
What's the Meaning of Superhuman Performance in Today's NLU? CoRR abs/2305.08414 (2023) - [i3]Pere-Lluís Huguet Cabot, Simone Tedeschi, Axel-Cyrille Ngonga Ngomo, Roberto Navigli:
REDFM: a Filtered and Multilingual Relation Extraction Dataset. CoRR abs/2306.09802 (2023) - 2022
- [c5]Simone Tedeschi, Roberto Navigli:
MultiNERD: A Multilingual, Multi-Genre and Fine-Grained Dataset for Named Entity Recognition (and Disambiguation). NAACL-HLT (Findings) 2022: 801-812 - [c4]Simone Tedeschi, Federico Martelli, Roberto Navigli:
ID10M: Idiom Identification in 10 Languages. NAACL-HLT (Findings) 2022: 2715-2726 - [c3]Simone Tedeschi, Roberto Navigli:
NER4ID at SemEval-2022 Task 2: Named Entity Recognition for Idiomaticity Detection. SemEval@NAACL 2022: 204-210 - [i2]Vera Provatorova
Focusing on Context is NICE: Improving Overshadowed Entity Disambiguation. CoRR abs/2210.06164 (2022) - [i1]Sedrick Scott Keh, Rohit Bharadwaj, Emmy Liu, Simone Tedeschi, Varun Gangal, Roberto Navigli:
EUREKA: EUphemism Recognition Enhanced through Knn-based methods and Augmentation. CoRR abs/2210.12846 (2022) - 2021
- [c2]Simone Tedeschi, Valentino Maiorca, Niccolò Campolungo
WikiNEuRal: Combined Neural and Knowledge-based Silver Data Creation for Multilingual NER. EMNLP (Findings) 2021: 2521-2533 - [c1]Simone Tedeschi, Simone Conia, Francesco Cecconi, Roberto Navigli:
Named Entity Recognition for Entity Linking: What Works and What's Next. EMNLP (Findings) 2021: 2584-2596
Coauthor Index
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