---
title: "Sapienza University of Rome — works"
description: "29 works by researchers of Sapienza University of Rome in our library, the most cited first."
canonical: "https://research.elamur.ai/free/en/universities/sapienza-university-of-rome/works/"
---
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# Works of Sapienza University of Rome

29 works · the most cited first · [← Sapienza University of Rome](https://md.research.elamur.ai/free/en/universities/sapienza-university-of-rome/)

1. [**Knowledge Graphs**Aidan Hogan, Eva Blomqvist, Michael Cochez, et al.*2020 · 2,011 citations*](https://md.research.elamur.ai/free/en/papers/hogan-2020-knowledge-graphs/)
2. [**Multitask Prompted Training Enables Zero-Shot Task Generalization**Victor Sanh, Albert Webson, Colin Raffel, et al.*2021 · 1,577 citations*](https://md.research.elamur.ai/free/en/papers/sanh-2021-multitask-prompted-training-enables-zero/)
3. [**Word Sense Disambiguation: A Unified Evaluation Framework and Empirical Comparison**Alessandro Raganato, Jose Camacho-Collados, Roberto Navigli*2017 · 483 citations*](https://md.research.elamur.ai/free/en/papers/raganato-2017-word-sense-disambiguation-unified-evaluation/)
4. [**SensEmbed: Learning Sense Embeddings for Word and Relational Similarity**Ignacio Iacobacci, Mohammad Taher Pilehvar, Roberto Navigli*2015 · 348 citations*](https://md.research.elamur.ai/free/en/papers/iacobacci-2015-sensembed-learning-sense-embeddings-word/)
5. [**SemEval-2007 Task 10: English Lexical Substitution Task**Diana McCarthy, Roberto Navigli*2007 · 323 citations*](https://md.research.elamur.ai/free/en/papers/mccarthy-2007-semeval-2007-task-10-english/)
6. [**Humanity's Last Exam**Long Phan, Alice Gatti, Ziwen Han, et al.*2025 · 235 citations*](https://md.research.elamur.ai/free/en/papers/phan-2025-humanity-s-last-exam/)
7. [**Breaking Through the 80% Glass Ceiling: Raising the State of the Art in Word Sense Disambiguation by Incorporating Knowledge Graph Information**Michele Bevilacqua, Roberto Navigli*2020 · 232 citations*](https://md.research.elamur.ai/free/en/papers/bevilacqua-2020-breaking-through-80-glass-ceiling/)
8. [**SemEval-2007 Task 07: Coarse-Grained English All-Words Task**Roberto Navigli, Kenneth C. Litkowski, Orin Hargraves*2007 · 226 citations*](https://md.research.elamur.ai/free/en/papers/navigli-2007-semeval-2007-task-07-coarse/)
9. [**Meaningful Clustering of Senses Helps Boost Word Sense Disambiguation Performance**Roberto Navigli*2006 · 213 citations*](https://md.research.elamur.ai/free/en/papers/navigli-2006-meaningful-clustering-senses-helps-boost/)
10. [**Learning Word-Class Lattices for Definition and Hypernym Extraction**Roberto Navigli, Paola Velardi*2010 · 201 citations*](https://md.research.elamur.ai/free/en/papers/navigli-2010-learning-word-class-lattices-definition/)
11. [**Clustering and Diversifying Web Search Results with Graph-Based Word Sense Induction**Antonio Di Marco, Roberto Navigli*2013 · 184 citations*](https://md.research.elamur.ai/free/en/papers/marco-2013-clustering-diversifying-web-search-results/)
12. [**Graph Connectivity Measures for Unsupervised Word Sense Disambiguation**Roberto Navigli, Mirella Lapata*2007 · 168 citations*](https://md.research.elamur.ai/free/en/papers/navigli-2007-graph-connectivity-measures-unsupervised-word/)
13. [**Internal and external dynamics in language: Evidence from verb regularity in a historical corpus of English**Christine F. Cuskley, Martina Pugliese, Claudio Castellano, et al.*2014 · 105 citations*](https://md.research.elamur.ai/free/en/papers/cuskley-2014-internal-external-dynamics-language-evidence/)
14. [**Generationary or «How We Went beyond Word Sense Inventories and Learned to Gloss»**Michele Bevilacqua, Marco Maru, Roberto Navigli*2020 · 90 citations*](https://md.research.elamur.ai/free/en/papers/bevilacqua-2020-generationary/)
15. [**VerbAtlas: a Novel Large-Scale Verbal Semantic Resource and Its Application to Semantic Role Labeling**Andrea Di Fabio, Simone Conia, Roberto Navigli*2019 · 88 citations*](https://md.research.elamur.ai/free/en/papers/fabio-2019-verbatlas-novel-large-scale-verbal/)
16. [**Findings of the WMT25 General Machine Translation Shared Task: Time to Stop Evaluating on Easy Test Sets**Tom Kocmi, Ekaterina Artemova, Eleftherios Avramidis, et al.*2025 · 73 citations*](https://md.research.elamur.ai/free/en/papers/kocmi-2025-findings-wmt25-general-machine-translation/)
17. [**ID10M: Idiom Identification in 10 Languages**Simone Tedeschi, Federico Martelli, Roberto Navigli*2022 · 49 citations*](https://md.research.elamur.ai/free/en/papers/tedeschi-2022-id10m-idiom-identification-10-languages/)
18. [**Maverick: Efficient and Accurate Coreference Resolution Defying Recent Trends**Giuliano Martinelli, Edoardo Barba, Roberto Navigli*2024 · 36 citations*](https://md.research.elamur.ai/free/en/papers/martinelli-2024-maverick-efficient-accurate-coreference-resolution/)
19. [**MaTESe: Machine Translation Evaluation as a Sequence Tagging Problem**Stefano Perrella, Lorenzo Proietti, Alessandro Scirè, et al.*2022 · 32 citations*](https://md.research.elamur.ai/free/en/papers/perrella-2022-matese-machine-translation-evaluation-as/)
20. [**Guardians of the Machine Translation Meta-Evaluation: Sentinel Metrics Fall In!**Stefano Perrella, Lorenzo Proietti, Alessandro Scirè, et al.*2024 · 24 citations*](https://md.research.elamur.ai/free/en/papers/perrella-2024-guardians-machine-translation-meta-evaluation/)
21. [**Exemplification Modeling: Can You Give Me an Example, Please?**Edoardo Barba, Luigi Procopio, Caterina Lacerra*2021 · 23 citations*](https://md.research.elamur.ai/free/en/papers/barba-2021-exemplification-modeling/)
22. [**SemEval-2026 Task 10: PsyCoMark – Psycholinguistic Conspiracy Marker Extraction and Detection**Mattia Samory, Felix Soldner, Veronika Batzdorfer*2026 · 20 citations*](https://md.research.elamur.ai/free/en/papers/samory-2026-semeval-2026-task-10-psycomark/)
23. [**Do Large Language Models Understand Word Senses?**Domenico Meconi, Simone Stirpe, Federico Martelli*2025 · 18 citations*](https://md.research.elamur.ai/free/en/papers/meconi-2025-llms-word-senses/)
24. [**Beyond Correlation: Interpretable Evaluation of Machine Translation Metrics**Stefano Perrella, Lorenzo Proietti, Pere-Lluís Huguet Cabot, et al.*2024 · 15 citations*](https://md.research.elamur.ai/free/en/papers/perrella-2024-beyond-correlation-interpretable-evaluation-machine/)
25. [**DiBiMT: A Gold Evaluation Benchmark for Studying Lexical Ambiguity in Machine Translation**Federico Martelli, Stefano Perrella, Niccolò Campolungo, et al.*2025 · 11 citations*](https://md.research.elamur.ai/free/en/papers/martelli-2025-dibimt-gold-evaluation-benchmark-studying/)
26. [**TArC: Incrementally and Semi-Automatically Collecting a Tunisian Arabish Corpus**Elisa Gugliotta, Marco Dinarelli*2020 · 8 citations*](https://md.research.elamur.ai/free/en/papers/gugliotta-2020-tarc-incrementally-semi-automatically-collecting/)
27. [**TArC: Tunisian Arabish Corpus, First complete release**Elisa Gugliotta, Marco Dinarelli*2022 · 8 citations*](https://md.research.elamur.ai/free/en/papers/gugliotta-2022-tarc-tunisian-arabish-corpus-first/)
28. [**Exploring Non-Verbal Predicates in Semantic Role Labeling: Challenges and Opportunities**Riccardo Orlando, Simone Conia, Roberto Navigli*2023 · 5 citations*](https://md.research.elamur.ai/free/en/papers/orlando-2023-exploring-non-verbal-predicates-semantic/)
29. [**PEAR: Pairwise Evaluation for Automatic Relative Scoring in Machine Translation**Lorenzo Proietti, Roman Grundkiewicz, Matt Post*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/proietti-2026-pear-pairwise-evaluation-automatic-relative/)
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