--- title: "Who cites Word Sense Disambiguation: A Unified Evaluation…" description: "167 papers of the Elamur Research library cite «Word Sense Disambiguation: A Unified Evaluation Framework and Empirical Comparison», found in their…" canonical: "https://research.elamur.ai/free/en/papers/raganato-2017-word-sense-disambiguation-unified-evaluation/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/raganato-2017-word-sense-disambiguation-unified-evaluation/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Word Sense Disambiguation: A Unified Evaluation…](https://md.research.elamur.ai/free/en/papers/raganato-2017-word-sense-disambiguation-unified-evaluation/) / cited by # Who cites «Word Sense Disambiguation: A Unified Evaluation Framework and Empirical Comparison» 167 papers of our library cite it (of the 140,884 whose bibliographies we read) · 16 with a page here, the most cited first · [← the paper](https://md.research.elamur.ai/free/en/papers/raganato-2017-word-sense-disambiguation-unified-evaluation/) 1. [**Deep Contextualized Word Representations**Matthew E. Peters, Mark Neumann, Mohit Iyyer, et al.*2018 · 3,240 citations*](https://md.research.elamur.ai/free/en/papers/peters-2018-deep-contextualized-word-representations/) 2. [**Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models**Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, et al.*2022 · 1,695 citations*](https://md.research.elamur.ai/free/en/papers/srivastava-2022-imitation-game-quantifying-extrapolating-capabilities/) 3. [**ChatGPT: Jack of all trades, master of none**Jan Kocon, Igor Cichecki, Oliwier Kaszyca, et al.*2023 · 863 citations*](https://md.research.elamur.ai/free/en/papers/kocon-2023-chatgpt-jack-all-trades-master/) 4. [**GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge**Luyao Huang, Chi Sun, Xipeng Qiu, et al.*2019 · 364 citations*](https://md.research.elamur.ai/free/en/papers/huang-2019-glossbert-bert-word-sense-disambiguation/) 5. [**Visualizing and Measuring the Geometry of BERT**Andy Coenen, Emily Reif, Ann Yuan, et al.*2019 · 338 citations*](https://md.research.elamur.ai/free/en/papers/coenen-2019-visualizing-measuring-geometry-bert/) 6. [**Moving Down the Long Tail of Word Sense Disambiguation with Gloss Informed Bi-encoders**Terra Blevins, Luke Zettlemoyer*2020 · 232 citations*](https://md.research.elamur.ai/free/en/papers/blevins-2020-moving-down-long-tail-word/) 7. [**Language Modelling Makes Sense: Propagating Representations through WordNet for Full-Coverage Word Sense Disambiguation**Daniel Loureiro, Alípio Jorge*2019 · 189 citations*](https://md.research.elamur.ai/free/en/papers/loureiro-2019-language-modelling-makes-sense-propagating/) 8. [**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/) 9. [**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/) 10. [**MWE as WSD: Solving Multiword Expression Identification with Word Sense Disambiguation**Joshua Tanner, Jacob Hoffman*2023 · 12 citations*](https://md.research.elamur.ai/free/en/papers/tanner-2023-mwe-as-wsd-solving-multiword/) 11. [**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/) 12. [**Semantic Change Characterization with LLMs using Rhetorics**Jáder Martins Camboim de Sá, Jooyoung Lee, Marcos Da Silveira, et al.*2026 · 3 citations*](https://md.research.elamur.ai/free/en/papers/sa-2026-semantic-change-characterization-llms-rhetorics/) 13. [**PCR4ALL: A Comprehensive Evaluation Benchmark for Pronoun Coreference Resolution in English**Xinran Zhao, Hongming Zhang, Yangqiu Song*2022 · 3 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2022-pcr4all-comprehensive-evaluation-benchmark-pronoun/) 14. [**A Novel Dataset and Three Ways to Approach Automatic Metaphor Detection in German Religious Online Forums**Sebastian Reimann, Tatjana Scheffler*2026*](https://md.research.elamur.ai/free/en/papers/reimann-2026-novel-dataset-three-ways-approach/) 15. [**Creating a Hybrid Rule and Neural Network Based Semantic Tagger Using Silver Standard Data: The PyMUSAS Framework for Multilingual Semantic Annotation**Andrew Moore, Paul Rayson, Dawn Archer, et al.*2026*](https://md.research.elamur.ai/free/en/papers/moore-2026-creating-hybrid-rule-neural-network/) 16. [**Insights from Transfer Learning Experiments with Word-in-Context and Word Sense Disambiguation Models**Alp Mujko, Dominik Schlechtweg*2026*](https://md.research.elamur.ai/free/en/papers/mujko-2026-insights-transfer-learning-experiments-word/) 151 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/raganato-2017-word-sense-disambiguation-unified-evaluation/) — Word Sense Disambiguation: A Unified Evaluation Framework and Empirical Comparison