Dr Carolina Scarton
BSc, MSc, PhD
School of Computer Science
Senior Lecturer in Natural Language Processing
Research Innovation Grant Support Lead
Member of the Natural Language Processing research group
c.scarton@sheffield.ac.uk
+44 114 222 1892
+44 114 222 1892
Regent Court (DCS)
Full contact details
Dr Carolina Scarton
School of Computer Science
Regent Court (DCS)
211 Portobello
Sheffield
S1 4DP
School of Computer Science
Regent Court (DCS)
211 Portobello
Sheffield
S1 4DP
- Profile
-
Carolina Scarton is a Senior Lecturer in Natural Language Processing at the Department of Computer Science, University of Sheffield, UK. She is a member of the Natural Language Processing group and part of the GATE team.
Previously, she worked as an Academic Fellow (from September 2019 to November 2021) and as a Research Associate for the WeVerify (from March 2019 to August 2019) and SIMPATICO (from July 2016 to February 2019) European projects.
- Qualifications
-
In 2017, she was awarded a PhD degree in Computer Science from the University of Sheffield, under the supervision of Professor Lucia Specia. Her PhD was funded by the EXPERT project (a Marie Curie ITN network).
She also has a MSc and a BSc degree from the University of São Paulo, Brazil (awarded in 2013).
Her MSc supervisor was Dr. Sandra Aluísio and she was a member of the Interinstitutional Center for Computational Linguistics (NILC). Since 2018, she is the Secretary for the European Association for Machine Translation (EAMT).
- Research interests
-
Dr Scarton's research area is Natural Language Processing (NLP). She is particularly interested in text adaptation, machine translation, online misinformation detection and verification, evaluation of NLP task outputs, NLP applied to healthcare and robotics, and dialog systems.
- Publications
-
Books
- Preface.
- Quality Estimation for Machine Translation. Morgan & Claypool Publishers LLC.
- Quality Estimation for Machine Translation.
Journal articles
- SemEval-2025 Task 1: AdMIRe - Advancing Multimodal Idiomaticity Representation.. CoRR, abs/2503.15358.
- Leveraging Large Language Models for Zero-shot Lay Summarisation in Biomedicine and Beyond.. CoRR, abs/2501.05224.
- Accelerating discoveries in medicine using distributed vector representations of words. Expert Systems with Applications, 250, 123566-123566.
- Message from the Organising Committee. Proceedings of the 25th Annual Conference of the European Association for Machine Translation, EAMT 2024, 2, iv-v.
- Enhancing Idiomatic Representation in Multiple Languages via an Adaptive Contrastive Triplet Loss.. CoRR, abs/2406.15175.
- Word Boundary Information Isn't Useful for Encoder Language Models.. CoRR, abs/2401.07923.
- EUvsDisinfo: a Dataset for Multilingual Detection of Pro-Kremlin Disinformation in News Articles.. CoRR, abs/2406.12614.
- ATLAS: Improving Lay Summarisation with Attribute-based Control.. CoRR, abs/2406.05625.
- A Case Study on Contextual Machine Translation in a Professional Scenario of Subtitling.. CoRR, abs/2407.00108.
- Label Set Optimization via Activation Distribution Kurtosis for Zero-shot Classification with Generative Models.. CoRR, abs/2410.19195.
- Message from the Organising Committee. Proceedings of the 25th Annual Conference of the European Association for Machine Translation, EAMT 2024, 1, iv-v.
- VaxxHesitancy: A Dataset for Studying Hesitancy Towards COVID-19 Vaccination on Twitter.. CoRR, abs/2301.06660.
- Navigating Prompt Complexity for Zero-Shot Classification: A Study of Large Language Models in Computational Social Science.. CoRR, abs/2305.14310.
- Finding Already Debunked Narratives via Multistage Retrieval: Enabling Cross-Lingual, Cross-Dataset and Zero-Shot Learning.. CoRR, abs/2308.05680.
- Detecting Misinformation with LLM-Predicted Credibility Signals and Weak Supervision.. CoRR, abs/2309.07601.
- Enhancing Biomedical Lay Summarisation with External Knowledge Graphs. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing.
- MTCue: Learning Zero-Shot Control of Extra-Textual Attributes by Leveraging Unstructured Context in Neural Machine Translation.. CoRR, abs/2305.15904.
- Comparison between parameter-efficient techniques and full fine-tuning: A case study on multilingual news article classification.. CoRR, abs/2308.07282.
- Evaluating the Role of Target Arguments in Rumour Stance Classification.. CoRR, abs/2303.12665.
- Personalised Language Modelling of Screen Characters Using Rich Metadata Annotations.. CoRR, abs/2303.16618.
- Don’t waste a single annotation: improving single-label classifiers through soft labels. Findings of the Association for Computational Linguistics: EMNLP 2023.
- The (Un)Suitability of Automatic Evaluation Metrics for Text Simplification. Computational Linguistics, 1-29.
- Special Issue on Disinformation, Hoaxes and Propaganda within Online Social Networks and Media. Online Social Networks and Media, 23.
- Data-driven sentence simplification: Survey and benchmark. Computational Linguistics, 135-187. View this article in WRRO
- Horacio Saggion, Automatic Text Simplification. Synthesis lectures on human language technologies, April 2017.. Nat. Lang. Eng., 26, 489-492.
- Automatic classification of written descriptions by healthy adults: An overview of the application of natural language processing and machine learning techniques to clinical discourse analysis. Dementia & Neuropsychologia, 8(3), 227-235. View this article in WRRO
- Weakly supervised veracity classification with LLM-predicted credibility signals. EPJ Data Science, 14(1).
- Investigating Idiomaticity in Word Representations. Computational Linguistics, 1-48.
- Finding Idiomaticity in Word Representations. Computational Linguistics.
- UTDRM: unsupervised method for training debunked-narrative retrieval models. EPJ Data Science, 12(1).
- NILC-Metrix: assessing the complexity of written and spoken language in Brazilian Portuguese. Language Resources and Evaluation.
- VaxxHesitancy: A Dataset for Studying Hesitancy towards COVID-19 Vaccination on Twitter. Proceedings of the International AAAI Conference on Web and Social Media, 17, 1052-1062.
- Noisy Self-Training with Data Augmentations for Offensive and Hate Speech Detection Tasks. Proceedings of the Conference Recent Advances in Natural Language Processing - Large Language Models for Natural Language Processings.
- Classifying COVID-19 Vaccine Narratives. Proceedings of the Conference Recent Advances in Natural Language Processing - Large Language Models for Natural Language Processings.
- A Quantitative Analysis of Discourse Phenomena in Machine Translation. Discours(16).
- Multistage BiCross Encoder: Team GATE Entry for MLIA Multilingual
Semantic Search Task 2.
- Toxic Language Detection in Social Media for Brazilian Portuguese: New
Dataset and Multilingual Analysis.
- Measuring What Counts: The case of Rumour Stance Classification.
- The False COVID-19 Narratives That Keep Being Debunked: A Spatiotemporal
Analysis.
- Categorising Fine-to-Coarse Grained Misinformation: An Empirical Study
of COVID-19 Infodemic.
- NILC-Metrix: assessing the complexity of written and spoken language in
Brazilian Portuguese.
Chapters
- A Lightweight Approach for User and Keyword Classification in Controversial Topics, Lecture Notes in Computer Science (pp. 243-253). Springer Nature Switzerland
Book reviews
- Horacio Saggion, automatic text simplification. Synthesis lectures on human language technologies, April 2017. 137 pages, ISBN:1627058680 9781627058681. Natural Language Engineering. View this article in WRRO
Conference proceedings papers
- A Cross-Domain Study of the Use of Persuasion Techniques in Online Disinformation. Companion Proceedings of the ACM on Web Conference 2025 (pp 1100-1103)
- A Lightweight Approach for User and Keyword Classification in Controversial Topics.. ASONAM (2), Vol. 15212 (pp 243-253)
- Reference-less Analysis of Context Specificity in Translation with Personalised Language Models. 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings (pp 13769-13784)
- Navigating Prompt Complexity for Zero-Shot Classification: A Study of Large Language Models in Computational Social Science.. LREC/COLING (pp 12074-12086)
- Can We Identify Stance Without Target Arguments? A Study for Rumour Stance Classification. 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings (pp 2844-2851)
- ExU: AI Models for Examining Multilingual Disinformation Narratives and Understanding their Spread. Proceedings of the 25th Annual Conference of the European Association for Machine Translation, EAMT 2024, Vol. 2 (pp 39-40)
- Enhancing Idiomatic Representation in Multiple Languages via an Adaptive Contrastive Triplet Loss.. ACL (Findings) (pp 12473-12485)
- Overview of the BioLaySumm 2024 Shared Task on the Lay Summarization of Biomedical Research Articles. BioNLP 2024 - 23rd Meeting of the ACL Special Interest Group on Biomedical Natural Language Processing, Proceedings of the Workshop and Shared Tasks (pp 122-131)
- ATLAS: Improving Lay Summarisation with Attribute-based Control.. ACL (Short Papers) (pp 337-345)
- Overview of the BioLaySumm 2024 Shared Task on the Lay Summarization of Biomedical Research Articles.. BioNLP@ACL (pp 122-131)
- Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 2), EAMT 2024, Sheffield, UK, June 24-27, 2024. EAMT (2)
- Multilinguality in the VIGILANT project.. EAMT (2) (pp 41-42)
- A Case Study on Contextual Machine Translation in a Professional Scenario of Subtitling.. EAMT (1) (pp 561-572)
- Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1), EAMT 2024, Sheffield, UK, June 24-27, 2024. EAMT (1)
- EUvsDisinfo: A Dataset for Multilingual Detection of Pro-Kremlin Disinformation in News Articles.. CIKM (pp 5380-5384)
- Domain-Driven and Discourse-Guided Scientific Summarisation (pp 361-376)
- SheffieldVeraAI at SemEval-2023 Task 3: Mono and Multilingual Approaches for News Genre, Topic and Persuasion Technique Classification. Proceedings of the The 17th International Workshop on Semantic Evaluation (SemEval-2023), July 2023 - July 2023.
- Proceedings of the 24th Annual Conference of the European Association for Machine Translation, EAMT 2023, Tampere, Finland, 12-15 June 2023. EAMT
- MTCue: Learning Zero-Shot Control of Extra-Textual Attributes by Leveraging Unstructured Context in Neural Machine Translation. Findings of the Association for Computational Linguistics: ACL 2023, July 2023 - July 2023.
- BioLaySumm 2023 Shared Task: Lay Summarisation of Biomedical Research Articles. The 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, July 2023 - July 2023.
- Overview of the BioLaySumm 2023 Shared Task on Lay Summarization of Biomedical Research Articles. Proceedings of the Annual Meeting of the Association for Computational Linguistics (pp 468-477)
- Analysing State-Backed Propaganda Websites: a New Dataset and Linguistic Study. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, December 2023 - December 2023.
- A Large-Scale Comparative Study of Accurate COVID-19 Information versus Misinformation.. CoRR, Vol. abs/2304.04811
- Noisy Self-Training with Data Augmentations for Offensive and Hate Speech Detection Tasks.. RANLP (pp 631-640)
- Classifying COVID-19 Vaccine Narratives.. RANLP (pp 648-657)
- Enhancing Biomedical Lay Summarisation with External Knowledge Graphs.. EMNLP (pp 8016-8032)
- Don't waste a single annotation: improving single-label classifiers through soft labels.. EMNLP (Findings) (pp 5347-5355)
- Comparative Analysis of Engagement, Themes, and Causality of Ukraine-Related Debunks and Disinformation (pp 128-143)
- Sample Efficient Approaches for Idiomaticity Detection
- SemEval-2022 Task 2: Multilingual Idiomaticity Detection and Sentence Embedding
- Controlling Extra-Textual Attributes about Dialogue Participants: A Case Study of English-to-Polish Neural Machine Translation. EAMT 2022 - Proceedings of the 23rd Annual Conference of the European Association for Machine Translation (pp 121-130)
- Controlling Formality in Low-Resource NMT with Domain Adaptation and Re-Ranking: SLT-CDT-UoS at IWSLT2022. Proceedings of the 19th International Conference on Spoken Language Translation (IWSLT 2022) (pp 341-350)
- SemEval-2022 Task 2: Multilingual Idiomaticity Detection and Sentence Embedding. Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022), July 2022 - July 2022.
- GateNLP-UShef at SemEval-2022 Task 8: Entity-Enriched Siamese Transformer for Multilingual News Article Similarity. Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022), July 2022 - July 2022.
- Proceedings of the 23rd Annual Conference of the European Association for Machine Translation, EAMT 2022, Ghent, Belgium, June 1-3, 2022. EAMT
- SemEval-2022 Task 2: Multilingual Idiomaticity Detection and Sentence Embedding.. SemEval@NAACL (pp 107-121)
- Improving Tokenisation by Alternative Treatment of Spaces. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, December 2022 - December 2022.
- Making Science Simple: Corpora for the Lay Summarisation of Scientific Literature. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, December 2022 - December 2022.
- Comparative Analysis of Engagement, Themes, and Causality of Ukraine-Related Debunks and Disinformation.. SocInfo, Vol. 13618 (pp 128-143)
- Computational Processing of the Portuguese Language - 15th International Conference, PROPOR 2022, Fortaleza, Brazil, March 21-23, 2022, Proceedings. PROPOR, Vol. 13208
- GateNLP-UShef at SemEval-2022 Task 8: Entity-Enriched Siamese Transformer for Multilingual News Article Similarity.. SemEval@NAACL (pp 1121-1128)
- Assessing the Representations of Idiomaticity in Vector Models with a Noun Compound Dataset Labeled at Type and Token Levels. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), August 2021 - August 2021.
- AStitchInLanguageModels : dataset and methods for the exploration of idiomaticity in pre-trained language models. Findings of the Association for Computational Linguistics: EMNLP 2021. Punta Cana, Dominican Republic, 7 November 2021 - 11 November 2021. View this article in WRRO
- AStitchInLanguageModels: Dataset and Methods for the Exploration of Idiomaticity in Pre-Trained Language Models.. EMNLP (Findings) (pp 3464-3477)
- Cross-lingual Rumour Stance Classification: a First Study with BERT and Machine Translation.. TTO (pp 50-59)
- Measuring the Impact of Readability Features in Fake News Detection.. LREC (pp 1404-1413)
- ASSET: A Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations.. ACL (pp 4668-4679)
- Linguistic Analysis Model for Monitoring User Reaction on Satirical News for Brazilian Portuguese (pp 313-320)
- Deciding When, How and for Whom to Simplify.. ECAI, Vol. 325 (pp 2172-2179)
- Toxic Language Detection in Social Media for Brazilian Portuguese: New Dataset and Multilingual Analysis.. AACL/IJCNLP (pp 914-924)
- Measuring What Counts: The Case of Rumour Stance Classification.. AACL/IJCNLP (pp 925-932)
- ASSET: A Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, July 2020 - July 2020. View this article in WRRO
- EASSE: easier automatic sentence simplification evaluation. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP): System Demonstrations (pp 49-54). Hong Kong, China, 3 November 2019 - 7 November 2019. View this article in WRRO
- Cross-Sentence Transformations in Text Simplification.. WNLP@ACL (pp 181-184)
- EASSE: Easier Automatic Sentence Simplification Evaluation. 2019 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING AND THE 9TH INTERNATIONAL JOINT CONFERENCE ON NATURAL LANGUAGE PROCESSING (EMNLP-IJCNLP 2019): PROCEEDINGS OF SYSTEM DEMONSTRATIONS (pp 49-54)
- Estimating post-editing effort: a study on human judgements, task-based and reference-based metrics of MT quality.. IWSLT
- Text simplification from professionally produced corpora. LREC 2018 - 11th International Conference on Language Resources and Evaluation (pp 3504-3510)
- Simpa: A sentence-level simplification corpus for the public administration domain. LREC 2018 - 11th International Conference on Language Resources and Evaluation (pp 4333-4338)
- Exploring Gap Filling as a Cheaper Alternative to Reading Comprehension Questionnaires when Evaluating Machine Translation for Gisting. Proceedings of the Third Conference on Machine Translation, Vol. 1 (pp 192-203), 31 October 2018 - 1 November 2018. View this article in WRRO
- Exploring gap filling as a cheaper alternative to reading comprehension questionnaires when evaluating machine translation for gisting. Proceedings of the Third Conference on Machine Translation: Research Papers, October 2018 - October 2018.
- Sheffield Submissions for WMT18 Multimodal Translation Shared Task. Proceedings of the Third Conference on Machine Translation: Shared Task Papers, October 2018 - October 2018.
- Sheffield Submissions for the WMT18 Quality Estimation Shared Task. Proceedings of the Third Conference on Machine Translation: Shared Task Papers, October 2018 - October 2018.
- Learning Simplifications for Specific Target Audiences. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), July 2018 - July 2018.
- Sheffield Submissions for WMT18 Multimodal Translation Shared Task. WMT 2018 - 3rd Conference on Machine Translation, Proceedings of the Conference, Vol. 2 (pp 624-631)
- Sheffield Submissions for the WMT18 Quality Estimation Shared Task. WMT 2018 - 3rd Conference on Machine Translation, Proceedings of the Conference, Vol. 2 (pp 794-800)
- Bilexical Embeddings for Quality Estimation. Proceedings of the Second Conference on Machine Translation, September 2017 - September 2017.
- Learning How to Simplify From Explicit Labeling of Complex-Simplified Text Pairs.. IJCNLP(1) (pp 295-305)
- MUSST: A Multilingual Syntactic Simplification Tool.. IJCNLP (System Demonstrations) (pp 25-28)
- Improving Evaluation of Document-level Machine Translation Quality Estimation. Proceedings of the 15th Conference of the European Chapter of the
Association for Computational Linguistics: Volume 2, Short Papers, April 2017 - April 2017.
- Findings of the 2016 Conference on Machine Translation. Proceedings of the First Conference on Machine Translation: Volume 2,
Shared Task Papers, August 2016 - August 2016.
- Quality estimation for language output applications. COLING 2016 - 26th International Conference on Computational Linguistics, Proceedings of COLING 2016: Tutorial Abstracts (pp 14-17)
- A reading comprehension corpus for machine translation evaluation. Proceedings of the 10th International Conference on Language Resources and Evaluation, LREC 2016 (pp 3652-3658)
- Word embeddings and discourse information for Quality Estimation. Proceedings of the First Conference on Machine Translation: Volume 2,
Shared Task Papers, August 2016 - August 2016.
- SAARSHEFF at SemEval-2016 Task 1: Semantic Textual Similarity with Machine Translation Evaluation Metrics and (eXtreme) Boosted Tree Ensembles. Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016), June 2016 - June 2016.
- Evaluating Progression of Alzheimer’s Disease by Regression and Classification Methods in a Narrative Language Test in Portuguese (pp 109-114)
- Word embeddings and discourse information for Machine Translation Quality Estimation. Proceedings of the Annual Meeting of the Association for Computational Linguistics, Vol. 2 (pp 831-837)
- Multi-level Translation Quality Prediction with QuEst++. Proceedings of ACL-IJCNLP 2015 System Demonstrations, July 2015 - July 2015.
- Searching for context: A study on document-level labels for translation quality estimation. EAMT 2015 - Proceedings of the 18th Annual Conference of the European Association for Machine Translation (pp 121-128)
- USHEF and USAAR-USHEF participation in the WMT15 QE shared task. Proceedings of the Tenth Workshop on Statistical Machine Translation, September 2015 - September 2015.
- USAAR-SHEFFIELD: Semantic Textual Similarity with Deep Regression and Machine Translation Evaluation Metrics. Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015), June 2015 - June 2015.
- Discourse and Document-level Information for Evaluating Language Output Tasks. Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Student Research Workshop, June 2015 - June 2015.
- Ushef and usaar-ushef participation in the wmt15 quality estimation shared task. 10th Workshop on Statistical Machine Translation, WMT 2015 at the 2015 Conference on Empirical Methods in Natural Language Processing, EMNLP 2015 - Proceedings (pp 336-341)
- Preface. 10th Workshop on Statistical Machine Translation, WMT 2015 at the 2015 Conference on Empirical Methods in Natural Language Processing, EMNLP 2015 - Proceedings (pp III)
- Findings of the 2015 Workshop on Statistical Machine Translation. Proceedings of the Tenth Workshop on Statistical Machine Translation, September 2015 - September 2015.
- Using Cross-Linguistic Knowledge to Build VerbNet-Style Lexicons: Results for a (Brazilian) Portuguese VerbNet (pp 149-160)
- Exploring Consensus in Machine Translation for Quality Estimation. Proceedings of the Ninth Workshop on Statistical Machine Translation, June 2014 - June 2014.
- Verb Clustering for Brazilian Portuguese (pp 25-39)
- Document-level translation quality estimation: Exploring discourse and pseudo-references. Proceedings of the 17th Annual Conference of the European Association for Machine Translation, EAMT 2014 (pp 101-108)
- Verb clustering for Brazilian Portuguese. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 8403 LNCS(PART 1) (pp 25-39)
- Computational Processing of the Portuguese Language
- Identifying Pronominal Verbs: Towards Automatic Disambiguation of the Clitic se in Portuguese. Proceedings of the 9th Workshop on Multiword Expressions, MWE 2013 - in conjunction with the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2013 (pp 93-100)
- Revisiting the readability assessment of texts in Portuguese. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 6433 LNAI (pp 306-315)
- SIMPLIFICA: a tool for authoring simplified texts in Brazilian Portuguese guided by readability assessments.. NAACL (Demos) (pp 41-44)
- Text readability analysis with natural language processing tools: The adaptation of coh-metrix metrics for Portuguese. STIL 2009 - 2009 7th Brazilian Symposium in Information and Human Language Technology (pp 53-62)
- Categorising Fine-to-Coarse Grained Misinformation: An Empirical Study of the COVID-19 Infodemic. Proceedings of the Conference Recent Advances in Natural Language Processing - Large Language Models for Natural Language Processings
- Probing for idiomaticity in vector space models. Proceedings of the 16th conference of the European Chapter of the Association for Computational Linguistics
- Estimating post-editing effort: a study on human judgements, task-based
and reference-based metrics of MT quality View this article in WRRO
- Assessing Idiomaticity Representations in Vector Models with a Noun Compound Dataset Labeled at Type and Token Levels. Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021)
Theses / Dissertations
Preprints
- GateNLP at SemEval-2025 Task 10: Hierarchical Three-Step Prompting for Multilingual Narrative Classification, arXiv.
- SCRum-9: Multilingual Stance Classification over Rumours on Social Media, arXiv.
- UKElectionNarratives: A Dataset of Misleading Narratives Surrounding Recent UK General Elections, arXiv.
- SemEval-2025 Task 1: AdMIRe -- Advancing Multimodal Idiomaticity Representation, arXiv.
- Exploring Vision Language Models for Multimodal and Multilingual Stance Detection, arXiv.
- A Lightweight Approach for User and Keyword Classification in Controversial Topics, arXiv.
- Leveraging Large Language Models for Zero-shot Lay Summarisation in
Biomedicine and Beyond.
- A Cross-Domain Study of the Use of Persuasion Techniques in Online Disinformation, arXiv.
- Investigating Idiomaticity in Word Representations, arXiv.
- Label Set Optimization via Activation Distribution Kurtosis for Zero-shot Classification with Generative Models, arXiv.
- Overview of the BioLaySumm 2024 Shared Task on the Lay Summarization of Biomedical Research Articles, arXiv.
- A Case Study on Contextual Machine Translation in a Professional Scenario of Subtitling, arXiv.
- Enhancing Idiomatic Representation in Multiple Languages via an Adaptive Contrastive Triplet Loss, arXiv.
- EUvsDisinfo: a Dataset for Multilingual Detection of Pro-Kremlin Disinformation in News Articles, arXiv.
- ATLAS: Improving Lay Summarisation with Attribute-based Control, arXiv.
- ExU: AI Models for Examining Multilingual Disinformation Narratives and Understanding their Spread, arXiv.
- Word Boundary Information Isn't Useful for Encoder Language Models, arXiv.
- Don't Waste a Single Annotation: Improving Single-Label Classifiers Through Soft Labels, arXiv.
- Enhancing Biomedical Lay Summarisation with External Knowledge Graphs, arXiv.
- Analysing State-Backed Propaganda Websites: a New Dataset and Linguistic Study, arXiv.
- Overview of the BioLaySumm 2023 Shared Task on Lay Summarization of Biomedical Research Articles, arXiv.
- Detecting Misinformation with LLM-Predicted Credibility Signals and Weak Supervision, arXiv.
- Comparison between parameter-efficient techniques and full fine-tuning: A case study on multilingual news article classification, arXiv.
- Finding Already Debunked Narratives via Multistage Retrieval: Enabling Cross-Lingual, Cross-Dataset and Zero-Shot Learning, arXiv.
- Noisy Self-Training with Data Augmentations for Offensive and Hate Speech Detection Tasks, arXiv.
- MTCue: Learning Zero-Shot Control of Extra-Textual Attributes by Leveraging Unstructured Context in Neural Machine Translation, arXiv.
- Navigating Prompt Complexity for Zero-Shot Classification: A Study of Large Language Models in Computational Social Science, arXiv.
- A Large-Scale Comparative Study of Accurate COVID-19 Information versus Misinformation, arXiv.
- Personalised Language Modelling of Screen Characters Using Rich Metadata Annotations, arXiv.
- Evaluating the Role of Target Arguments in Rumour Stance Classification, arXiv.
- SheffieldVeraAI at SemEval-2023 Task 3: Mono and multilingual approaches for news genre, topic and persuasion technique classification, arXiv.
- VaxxHesitancy: A Dataset for Studying Hesitancy towards COVID-19 Vaccination on Twitter, arXiv.
- Comparative Analysis of Engagement, Themes, and Causality of Ukraine-Related Debunks and Disinformation, arXiv.
- Making Science Simple: Corpora for the Lay Summarisation of Scientific
Literature.
- Classifying COVID-19 vaccine narratives, arXiv.
- GateNLP-UShef at SemEval-2022 Task 8: Entity-Enriched Siamese
Transformer for Multilingual News Article Similarity, arXiv.
- Controlling Formality in Low-Resource NMT with Domain Adaptation and
Re-Ranking: SLT-CDT-UoS at IWSLT2022, arXiv.
- Controlling Extra-Textual Attributes about Dialogue Participants: A Case
Study of English-to-Polish Neural Machine Translation, arXiv.
- Improving Tokenisation by Alternative Treatment of Spaces.
- AStitchInLanguageModels: Dataset and Methods for the Exploration of
Idiomaticity in Pre-Trained Language Models, arXiv.
- The False COVID-19 Narratives That Keep Being Debunked: A Spatiotemporal
Analysis, arXiv.
- Categorising Fine-to-Coarse Grained Misinformation: An Empirical Study
of COVID-19 Infodemic, arXiv.
- Multistage BiCross encoder for multilingual access to COVID-19 health
information, arXiv.
- Toxic Language Detection in Social Media for Brazilian Portuguese: New
Dataset and Multilingual Analysis, arXiv.
- Measuring What Counts: The case of Rumour Stance Classification, arXiv.
- ASSET: A Dataset for Tuning and Evaluation of Sentence Simplification
Models with Multiple Rewriting Transformations, arXiv.
- Estimating post-editing effort: a study on human judgements, task-based
and reference-based metrics of MT quality, arXiv.
- EASSE: Easier Automatic Sentence Simplification Evaluation, arXiv.
- Exploring Gap Filling as a Cheaper Alternative to Reading Comprehension
Questionnaires when Evaluating Machine Translation for Gisting, arXiv.
- Categorising Fine-to-Coarse Grained Misinformation: An Empirical Study of the COVID-19 Infodemic, Research Square Platform LLC.
- Preface.
- Grants
-
- ExU: AI Models for Examining Multilingual Disinformation Narratives and Understanding their Spread, European Media and Information Fund, 11/2023 - 04/2025, €399,926, as PI
- VIGILANT: Vital IntelliGence to Investigate ILlegAl DisiNformaTion, Horizon Europe, 11/2022 - 10/2025, £476,955, as PI
- vera.ai: VERification Assisted by Artificial Intelligence, Horizon Europe, 09/2022 - 10/2025, £776,703, as Co-PI
- XAIvsDisinfo: eXplainable AI Methods for Categorisation and Analysis of COVID-19 Vaccine Disinformation and Online Debates, UKRI, 06/2021 - 03/2023, £288,337, as Co-I
- Modeling Idiomaticity in Human and Artificial Language Processing, EPSRC, 12/2020 - 11/2024, £446,163, as Co-PI
- Modelling the link between working memory and language deficits in schizophrenia, Royal Society, 12/2020 - 11/2022, £74,000, as Co-PI