---
title: "University of Sheffield — works"
description: "67 works by researchers of University of Sheffield in our library, the most cited first."
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# Works of University of Sheffield

67 works · the most cited first · [← University of Sheffield](https://md.research.elamur.ai/free/en/universities/university-of-sheffield/)

1. [**FEVER: a Large-scale Dataset for Fact Extraction and VERification**James Thorne, Andreas Vlachos, Christos Christodoulopoulos, et al.*2018 · 2,205 citations*](https://md.research.elamur.ai/free/en/papers/thorne-2018-fever-large-scale-dataset-fact/)
2. [**LEGAL-BERT: The Muppets straight out of Law School**Ilias Chalkidis, Manos Fergadiotis, Prodromos Malakasiotis, et al.*2020 · 1,490 citations*](https://md.research.elamur.ai/free/en/papers/chalkidis-2020-legal-bert-muppets-straight-out/)
3. [**Findings of the 2016 Conference on Machine Translation**Ondřej Bojar, Rajen Chatterjee, Christian Federmann, et al.*2016 · 936 citations*](https://md.research.elamur.ai/free/en/papers/bojar-2016-findings-2016-conference-machine-translation/)
4. [**SemEval-2015 Task 2: Semantic Textual Similarity, English, Spanish and Pilot on Interpretability**Eneko Agirre, Carmen Banea, Claire Cardie, et al.*2015 · 758 citations*](https://md.research.elamur.ai/free/en/papers/agirre-2015-semeval-2015-task-2-semantic/)
5. [**Neural Legal Judgment Prediction in English**Ilias Chalkidis, Ion Androutsopoulos, Nikolaos Aletras*2019 · 558 citations*](https://md.research.elamur.ai/free/en/papers/chalkidis-2019-neural-legal-judgment-prediction-english/)
6. [**Results of the WNUT2017 Shared Task on Novel and Emerging Entity Recognition**Leon Derczynski, Eric Nichols, Marieke van Erp, et al.*2017 · 534 citations*](https://md.research.elamur.ai/free/en/papers/derczynski-2017-results-wnut2017-shared-task-novel/)
7. [**Stance Detection with Bidirectional Conditional Encoding**Isabelle Augenstein, Tim Rocktäschel, Andreas Vlachos, et al.*2016 · 519 citations*](https://md.research.elamur.ai/free/en/papers/augenstein-2016-stance-detection-bidirectional-conditional-encoding/)
8. [**Findings of the 2015 Workshop on Statistical Machine Translation**Ondřej Bojar, Rajen Chatterjee, Christian Federmann, et al.*2015 · 461 citations*](https://md.research.elamur.ai/free/en/papers/bojar-2015-findings-2015-workshop-statistical-machine/)
9. [**Emergent: a novel data-set for stance classification**William Ferreira, Andreas Vlachos*2016 · 456 citations*](https://md.research.elamur.ai/free/en/papers/ferreira-2016-emergent-novel-data-set-stance/)
10. [**Findings of the 2013 Workshop on Statistical Machine Translation**Ondřej Bojar, Christian Buck, Chris Callison-Burch, et al.*2013 · 441 citations*](https://md.research.elamur.ai/free/en/papers/bojar-2013-findings-2013-workshop-statistical-machine/)
11. [**Who cares about Sarcastic Tweets? Investigating the Impact of Sarcasm on Sentiment Analysis.**Diana Maynard, Mark Greenwood*2014 · 434 citations*](https://md.research.elamur.ai/free/en/papers/maynard-2014-who-cares-about-sarcastic-tweets/)
12. [**SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumours**Leon Derczynski, Kalina Bontcheva, Maria Liakata, et al.*2017 · 427 citations*](https://md.research.elamur.ai/free/en/papers/derczynski-2017-semeval-2017-task-8-rumoureval/)
13. [**Findings of the 2020 Conference on Machine Translation (WMT20)**Loïc Barrault, Magdalena Biesialska, Ondřej Bojar, et al.*2020 · 401 citations*](https://md.research.elamur.ai/free/en/papers/barrault-2020-findings-2020-conference-machine-translation/)
14. [**MEAD - A Platform for Multidocument Multilingual Text Summarization**Dragomir Radev, Timothy Allison, Sasha Blair-Goldensohn, et al.*2004 · 400 citations*](https://md.research.elamur.ai/free/en/papers/radev-2004-mead-platform-multidocument-multilingual-text/)
15. [**Probabilistic Text Structuring: Experiments with Sentence Ordering**Mirella Lapata*2003 · 354 citations*](https://md.research.elamur.ai/free/en/papers/lapata-2003-probabilistic-text-structuring-experiments-sentence/)
16. [**A Shared Task on Multimodal Machine Translation and Crosslingual Image Description**Lucia Specia, Stella Frank, Khalil Sima'an, et al.*2016 · 351 citations*](https://md.research.elamur.ai/free/en/papers/specia-2016-shared-task-multimodal-machine-translation/)
17. [**The Fact Extraction and VERification (FEVER) Shared Task**James Thorne, Andreas Vlachos, Oana Cocarascu, et al.*2018 · 322 citations*](https://md.research.elamur.ai/free/en/papers/thorne-2018-fact-extraction-verification-fever-shared/)
18. [**Learning from the Worst: Dynamically Generated Datasets to Improve Online Hate Detection**Bertie Vidgen, Tristan Thrush, Zeerak Waseem, et al.*2021 · 320 citations*](https://md.research.elamur.ai/free/en/papers/vidgen-2021-learning-worst-dynamically-generated-datasets/)
19. [**Twitter Part-of-Speech Tagging for All: Overcoming Sparse and Noisy Data**Leon Derczynski, Alan Ritter, Sam Clark, et al.*2013 · 316 citations*](https://md.research.elamur.ai/free/en/papers/derczynski-2013-twitter-part-speech-tagging-all/)
20. [**Automated Fact Checking: Task Formulations, Methods and Future Directions**James Thorne, Andreas Vlachos*2018 · 303 citations*](https://md.research.elamur.ai/free/en/papers/thorne-2018-automated-fact-checking-task-formulations/)
21. [**SemEval-2019 Task 7: RumourEval, Determining Rumour Veracity and Support for Rumours**Genevieve Gorrell, Elena Kochkina, Maria Liakata, et al.*2019 · 290 citations*](https://md.research.elamur.ai/free/en/papers/gorrell-2019-semeval-2019-task-7-rumoureval/)
22. [**Challenges and Strategies in Cross-Cultural NLP**Daniel Hershcovich, Stella Frank, Heather Lent, et al.*2022 · 290 citations*](https://md.research.elamur.ai/free/en/papers/hershcovich-2022-challenges-strategies-cross-cultural-nlp/)
23. [**QuEst - A translation quality estimation framework**Lucia Specia, Kashif Shah, Jose G.C. de Souza, et al.*2013 · 281 citations*](https://md.research.elamur.ai/free/en/papers/specia-2013-quest-translation-quality-estimation-framework/)
24. [**SemEval-2016 Task 12: Clinical TempEval**Steven Bethard, Guergana Savova, Wei-Te Chen, et al.*2016 · 263 citations*](https://md.research.elamur.ai/free/en/papers/bethard-2016-semeval-2016-task-12-clinical/)
25. [**LexGLUE: A Benchmark Dataset for Legal Language Understanding in English**Ilias Chalkidis; Abhik Jana; Dirk Hartung; Michael Bommarito; Ion Androutsopoulos; Daniel Martin Katz;, Nikolaos Aletras*2021 · 256 citations*](https://md.research.elamur.ai/free/en/papers/chalkidis-2021-lexglue-benchmark-dataset-legal-language/)
26. [**SIMPLE: A General Framework for the Development of Multilingual Lexicons**Nuria Bel, Federica Busa, Nicoletta Calzolari, et al.*2000 · 250 citations*](https://md.research.elamur.ai/free/en/papers/bel-2000-simple-general-framework-development-multilingual/)
27. [**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/)
28. [**Findings of the Third Shared Task on Multimodal Machine Translation**Loïc Barrault, Fethi Bougares, Lucia Specia, et al.*2018 · 227 citations*](https://md.research.elamur.ai/free/en/papers/barrault-2018-findings-third-shared-task-multimodal/)
29. [**ASSET: A Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations**Fernando Alva-Manchego, Louis Martin, Antoine Bordes, et al.*2020 · 215 citations*](https://md.research.elamur.ai/free/en/papers/manchego-2020-asset-dataset-tuning-evaluation-sentence/)
30. [**Data-Driven Sentence Simplification: Survey and Benchmark**Fernando Alva-Manchego, Carolina Scarton, Lucia Specia*2020 · 213 citations*](https://md.research.elamur.ai/free/en/papers/manchego-2020-data-driven-sentence-simplification-survey/)
31. [**SemEval-2012 Task 1: English Lexical Simplification**Lucia Specia, Sujay Kumar Jauhar, Rada Mihalcea*2012 · 210 citations*](https://md.research.elamur.ai/free/en/papers/specia-2012-semeval-2012-task-1-english/)
32. [**Compressing Context to Enhance Inference Efficiency of Large Language Models**Yucheng Li, Bo Dong, Frank Guerin, et al.*2023 · 208 citations*](https://md.research.elamur.ai/free/en/papers/li-2023-compressing-context-enhance-inference-efficiency/)
33. [**PET: a Tool for Post-editing and Assessing Machine Translation**Wilker Aziz, Sheila Castilho, Lucia Specia*2012 · 206 citations*](https://md.research.elamur.ai/free/en/papers/aziz-2012-pet-tool-post-editing-assessing/)
34. [**HateCheck: Functional Tests for Hate Speech Detection Models**Paul Röttger, Bertie Vidgen, Dong Nguyen, et al.*2021 · 202 citations*](https://md.research.elamur.ai/free/en/papers/rottger-2021-hatecheck-functional-tests-hate-speech/)
35. [**Multi-level Translation Quality Prediction with QuEst++**Lucia Specia, Gustavo Paetzold, Carolina Scarton*2015 · 184 citations*](https://md.research.elamur.ai/free/en/papers/specia-2015-multi-level-translation-quality-prediction/)
36. [**Paragraph-level Rationale Extraction through Regularization: A case study on European Court of Human Rights Cases**Ilias Chalkidis, Manos Fergadiotis, Dimitrios Tsarapatsanis, et al.*2021 · 167 citations*](https://md.research.elamur.ai/free/en/papers/chalkidis-2021-paragraph-level-rationale-extraction-through/)
37. [**Controllable Text Simplification with Explicit Paraphrasing**Mounica Maddela, Fernando Alva-Manchego, Wei Xu*2021 · 164 citations*](https://md.research.elamur.ai/free/en/papers/maddela-2021-controllable-text-simplification-explicit-paraphrasing/)
38. [**EASSE: Easier Automatic Sentence Simplification Evaluation**Fernando Alva-Manchego, Louis Martin, Carolina Scarton, et al.*2019 · 162 citations*](https://md.research.elamur.ai/free/en/papers/manchego-2019-easse-easier-automatic-sentence-simplification/)
39. [**Findings of the WMT 2020 Shared Task on Quality Estimation**Lucia Specia, Frédéric Blain, Marina Fomicheva, et al.*2020 · 160 citations*](https://md.research.elamur.ai/free/en/papers/specia-2020-findings-wmt-2020-shared-task-2020-wmt-1-79/)
40. [**The (Un)Suitability of Automatic Evaluation Metrics for Text Simplification**Fernando Alva-Manchego, Carolina Scarton, Lucia Specia*2021 · 156 citations*](https://md.research.elamur.ai/free/en/papers/manchego-2021-un-suitability-automatic-evaluation-metrics/)
41. [**Unsupervised Quality Estimation for Neural Machine Translation**Marina Fomicheva, Shuo Sun, Lisa Yankovskaya, et al.*2020 · 153 citations*](https://md.research.elamur.ai/free/en/papers/fomicheva-2020-unsupervised-quality-estimation-neural-machine/)
42. [**Findings of the WMT 2018 Shared Task on Quality Estimation**Lucia Specia, Frédéric Blain, Varvara Logacheva, et al.*2018 · 134 citations*](https://md.research.elamur.ai/free/en/papers/specia-2018-findings-wmt-2018-shared-task/)
43. [**Findings of the Second Shared Task on Multimodal Machine Translation and Multilingual Image Description**Desmond Elliott, Stella Frank, Loïc Barrault, et al.*2017 · 133 citations*](https://md.research.elamur.ai/free/en/papers/elliott-2017-findings-second-shared-task-multimodal/)
44. [**A Probabilistic Account of Logical Metonymy**Maria Lapata, Alex Lascarides*2003 · 118 citations*](https://md.research.elamur.ai/free/en/papers/lapata-2003-probabilistic-account-logical-metonymy/)
45. [**Event coreference for information extraction**Kevin Humphreys, Robert Gaizauskas, Saliha Azzam*1997 · 116 citations*](https://md.research.elamur.ai/free/en/papers/humphreys-1997-event-coreference-information-extraction/)
46. [**SemEval-2022 Task 2: Multilingual Idiomaticity Detection and Sentence Embedding**Harish Tayyar Madabushi, Edward Gow-Smith, Marcos Garcia, et al.*2022 · 108 citations*](https://md.research.elamur.ai/free/en/papers/madabushi-2022-semeval-2022-task-2-multilingual/)
47. [**Learning How to Simplify From Explicit Labeling of Complex-Simplified Text Pairs**Fernando Alva-Manchego, Joachim Bingel, Gustavo Paetzold, et al.*2017 · 104 citations*](https://md.research.elamur.ai/free/en/papers/manchego-2017-learning-how-simplify-explicit-labeling/)
48. [**Findings of the WMT 2022 Shared Task on Quality Estimation**Chrysoula Zerva, Frédéric Blain, Ricardo Rei, et al.*2022 · 91 citations*](https://md.research.elamur.ai/free/en/papers/zerva-2022-findings-wmt-2022-shared-task/)
49. [**Probing for idiomaticity in vector space models**Marcos Garcia, Tiago Kramer Vieira, Carolina Scarton, et al.*2021 · 89 citations*](https://md.research.elamur.ai/free/en/papers/garcia-2021-probing-idiomaticity-vector-space-models/)
50. [**AStitchInLanguageModels: Dataset and Methods for the Exploration of Idiomaticity in Pre-Trained Language Models**Harish Tayyar Madabushi, Edward Gow-Smith, Carolina Scarton, et al.*2021 · 86 citations*](https://md.research.elamur.ai/free/en/papers/madabushi-2021-astitchinlanguagemodels-dataset-methods-exploration-idiomaticity/)
51. [**Using Coreference Chains for Text Summarization**Saliha Azzam, Kevin Humphreys, Robert Gaizauskas*1999 · 84 citations*](https://md.research.elamur.ai/free/en/papers/azzam-1999-coreference-chains-text-summarization/)
52. [**Findings of the WMT 2021 Shared Task on Quality Estimation**Lucia Specia, Frédéric Blain, Marina Fomicheva, et al.*2021 · 80 citations*](https://md.research.elamur.ai/free/en/papers/specia-2021-findings-wmt-2021-shared-task/)
53. [**MLQE-PE: A Multilingual Quality Estimation and Post-Editing Dataset**Marina Fomicheva, Shuo Sun, Erick Fonseca, et al.*2022 · 76 citations*](https://md.research.elamur.ai/free/en/papers/fomicheva-2022-mlqe-pe-multilingual-quality-estimation/)
54. [**Experiments on Sentence Boundary Detection**Mark Stevenson, Robert Gaizauskas*2000 · 63 citations*](https://md.research.elamur.ai/free/en/papers/stevenson-2000-experiments-sentence-boundary-detection/)
55. [**Taking MT Evaluation Metrics to Extremes: Beyond Correlation with Human Judgments**Marina Fomicheva, Lucia Specia*2019 · 44 citations*](https://md.research.elamur.ai/free/en/papers/fomicheva-2019-taking-mt-evaluation-metrics-extremes/)
56. [**Evaluating a Focus-Based Approach to Anaphora Resolution**Saliha Azzam, Kevin Humphreys, Robert Gaizauskas*1998 · 41 citations*](https://md.research.elamur.ai/free/en/papers/azzam-1998-evaluating-focus-based-approach-anaphora/)
57. [**Dialogue Act-based Breakdown Detection in Negotiation Dialogues**Atsuki Yamaguchi, Kosui Iwasa, Katsuhide Fujita*2021 · 23 citations*](https://md.research.elamur.ai/free/en/papers/yamaguchi-2021-dialogue-act-based-breakdown-detection/)
58. [**The Iron(ic) Melting Pot: Reviewing Human Evaluation in Humour, Irony and Sarcasm Generation**Tyler Loakman, Aaron Maladry, Chenghua Lin*2023 · 18 citations*](https://md.research.elamur.ai/free/en/papers/loakman-2023-iron-ic-melting-pot-reviewing/)
59. [**The Universal Anaphora Scorer**Juntao Yu, Sopan Khosla, Nafise Sadat Moosavi, et al.*2022 · 15 citations*](https://md.research.elamur.ai/free/en/papers/yu-2022-universal-anaphora-scorer/)
60. [**Learned Construction Grammars Converge Across Registers Given Increased Exposure**Jonathan Dunn, Harish Tayyar Madabushi*2021 · 11 citations*](https://md.research.elamur.ai/free/en/papers/dunn-2021-learned-construction-grammars-converge-across/)
61. [**Scoring Coreference Chains with Split-Antecedent Anaphors**Silviu Paun, Juntao Yu, Nafise Sadat Moosavi, et al.*2023 · 9 citations*](https://md.research.elamur.ai/free/en/papers/paun-2023-scoring-coreference-chains-split-antecedent/)
62. [**Frame In, Frame Out: Measuring Framing Bias in LLM-Generated News Summaries**Valeria Pastorino, Nafise Sadat Moosavi*2026 · 3 citations*](https://md.research.elamur.ai/free/en/papers/pastorino-2026-frame-frame-out-measuring-framing/)
63. [**IQRA 2026: Interspeech Challenge on Automatic Pronunciation Assessment for Modern Standard Arabic (MSA)**Yassine El Kheir, Amit Meghanani, Mostafa Shahin, et al.*2026*](https://md.research.elamur.ai/free/en/papers/kheir-2026-iqra-2026-interspeech-challenge-automatic/)
64. [**English Word Sense Disambiguation in 2026: When the Labels Become the Bottleneck**Vassili Philippov, Amro Salman, Dmitrii Andreev, et al.*2026*](https://md.research.elamur.ai/free/en/papers/philippov-2026-english-wsd-labels/)
65. [**A Labelled Corpus for Prepositional Phrase Attachment**Brian Mitchell, Robert Gaizauskas*2004*](https://md.research.elamur.ai/free/en/papers/mitchell-2004-labelled-corpus-prepositional-phrase-attachment/)
66. [**Rethinking the Idiomaticity Decomposability Hypothesis: Evidence from Distributional Learning**Maggie Mi, Golzar Atefi, Atsuki Yamaguchi, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mi-2026-rethinking-idiomaticity-decomposability-hypothesis-evidence/)
67. [**Using English for commonsense knowledge**Allan Ramsay, Debora Field*2009*](https://md.research.elamur.ai/free/en/papers/ramsay-2009-english-commonsense-knowledge/)
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