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Works of Sapienza University of Rome

29 works · the most cited first · ← Sapienza University of Rome

  1. Knowledge GraphsAidan Hogan, Eva Blomqvist, Michael Cochez, et al.2020 · 2,011 citations
  2. Multitask Prompted Training Enables Zero-Shot Task GeneralizationVictor Sanh, Albert Webson, Colin Raffel, et al.2021 · 1,577 citations
  3. Word Sense Disambiguation: A Unified Evaluation Framework and Empirical ComparisonAlessandro Raganato, Jose Camacho-Collados, Roberto Navigli2017 · 483 citations
  4. SensEmbed: Learning Sense Embeddings for Word and Relational SimilarityIgnacio Iacobacci, Mohammad Taher Pilehvar, Roberto Navigli2015 · 348 citations
  5. SemEval-2007 Task 10: English Lexical Substitution TaskDiana McCarthy, Roberto Navigli2007 · 323 citations
  6. Humanity's Last ExamLong Phan, Alice Gatti, Ziwen Han, et al.2025 · 235 citations
  7. Breaking Through the 80% Glass Ceiling: Raising the State of the Art in Word Sense Disambiguation by Incorporating Knowledge Graph InformationMichele Bevilacqua, Roberto Navigli2020 · 232 citations
  8. SemEval-2007 Task 07: Coarse-Grained English All-Words TaskRoberto Navigli, Kenneth C. Litkowski, Orin Hargraves2007 · 226 citations
  9. Meaningful Clustering of Senses Helps Boost Word Sense Disambiguation PerformanceRoberto Navigli2006 · 213 citations
  10. Learning Word-Class Lattices for Definition and Hypernym ExtractionRoberto Navigli, Paola Velardi2010 · 201 citations
  11. Clustering and Diversifying Web Search Results with Graph-Based Word Sense InductionAntonio Di Marco, Roberto Navigli2013 · 184 citations
  12. Graph Connectivity Measures for Unsupervised Word Sense DisambiguationRoberto Navigli, Mirella Lapata2007 · 168 citations
  13. Internal and external dynamics in language: Evidence from verb regularity in a historical corpus of EnglishChristine F. Cuskley, Martina Pugliese, Claudio Castellano, et al.2014 · 105 citations
  14. Generationary or «How We Went beyond Word Sense Inventories and Learned to Gloss»Michele Bevilacqua, Marco Maru, Roberto Navigli2020 · 90 citations
  15. VerbAtlas: a Novel Large-Scale Verbal Semantic Resource and Its Application to Semantic Role LabelingAndrea Di Fabio, Simone Conia, Roberto Navigli2019 · 88 citations
  16. Findings of the WMT25 General Machine Translation Shared Task: Time to Stop Evaluating on Easy Test SetsTom Kocmi, Ekaterina Artemova, Eleftherios Avramidis, et al.2025 · 73 citations
  17. ID10M: Idiom Identification in 10 LanguagesSimone Tedeschi, Federico Martelli, Roberto Navigli2022 · 49 citations
  18. Maverick: Efficient and Accurate Coreference Resolution Defying Recent TrendsGiuliano Martinelli, Edoardo Barba, Roberto Navigli2024 · 36 citations
  19. MaTESe: Machine Translation Evaluation as a Sequence Tagging ProblemStefano Perrella, Lorenzo Proietti, Alessandro Scirè, et al.2022 · 32 citations
  20. Guardians of the Machine Translation Meta-Evaluation: Sentinel Metrics Fall In!Stefano Perrella, Lorenzo Proietti, Alessandro Scirè, et al.2024 · 24 citations
  21. Exemplification Modeling: Can You Give Me an Example, Please?Edoardo Barba, Luigi Procopio, Caterina Lacerra2021 · 23 citations
  22. SemEval-2026 Task 10: PsyCoMark – Psycholinguistic Conspiracy Marker Extraction and DetectionMattia Samory, Felix Soldner, Veronika Batzdorfer2026 · 20 citations
  23. Do Large Language Models Understand Word Senses?Domenico Meconi, Simone Stirpe, Federico Martelli2025 · 18 citations
  24. Beyond Correlation: Interpretable Evaluation of Machine Translation MetricsStefano Perrella, Lorenzo Proietti, Pere-Lluís Huguet Cabot, et al.2024 · 15 citations
  25. DiBiMT: A Gold Evaluation Benchmark for Studying Lexical Ambiguity in Machine TranslationFederico Martelli, Stefano Perrella, Niccolò Campolungo, et al.2025 · 11 citations
  26. TArC: Incrementally and Semi-Automatically Collecting a Tunisian Arabish CorpusElisa Gugliotta, Marco Dinarelli2020 · 8 citations
  27. TArC: Tunisian Arabish Corpus, First complete releaseElisa Gugliotta, Marco Dinarelli2022 · 8 citations
  28. Exploring Non-Verbal Predicates in Semantic Role Labeling: Challenges and OpportunitiesRiccardo Orlando, Simone Conia, Roberto Navigli2023 · 5 citations
  29. PEAR: Pairwise Evaluation for Automatic Relative Scoring in Machine TranslationLorenzo Proietti, Roman Grundkiewicz, Matt Post2026 · 1 citation

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