Regression and Ranking based Optimisation for Sentence Level MT Evaluation. - Xingyi Song; Trevor Cohn (WMT@EMNLP, 2011)

BLEU Deconstructed: Designing a Better MT Evaluation Metric. - Xingyi Song; Trevor Cohn; Lucia Specia (Int. J. Comput. Linguistics Appl., 2013)

Data selection for discriminative training in statistical machine translation. - Xingyi Song; Lucia Specia; Trevor Cohn (EAMT, 2014)

Sheffield Systems for the English-Romanian WMT Translation Task. - Frédéric Blain; Xingyi Song; Lucia Specia (WMT, 2016)

Training machine translation for human acceptability. - Xingyi Song (2016)

Comparing Attitudes to Climate Change in the Media using sentiment analysis based on Latent Dirichlet Allocation. - Ye Jiang 001; Xingyi Song; Jackie Harrison; Shaun Quegan; Diana Maynard (NLPmJ@EMNLP, 2017)

A Deep Neural Network Sentence Level Classification Method with Context Information. - Xingyi Song; Johann Petrak; Angus Roberts (EMNLP, 2018)

Bio-YODIE: A Named Entity Linking System for Biomedical Text. - Genevieve Gorrell; Xingyi Song; Angus Roberts (CoRR, 2018)

CogStack - experiences of deploying integrated information retrieval and extraction services in a large National Health Service Foundation Trust hospital. - Richard G. Jackson; Ismail Emre Kartoglu; Clive Stringer; Genevieve Gorrell; Angus Roberts; Xingyi Song; Honghan Wu; Asha Agrawal; Kenneth Lui; Tudor Groza; Damian Lewsley; Doug Northwood; et al. (BMC Medical Informatics Decis. Mak., 2018)

Team Bertha von Suttner at SemEval-2019 Task 4: Hyperpartisan News Detection using ELMo Sentence Representation Convolutional Network. - Ye Jiang 001; Johann Petrak; Xingyi Song; Kalina Bontcheva; Diana Maynard (SemEval@NAACL-HLT, 2019)

Online Abuse of UK MPs from 2015 to 2019: Working Paper. - Mark A. Greenwood; Mehmet E. Bakir; Genevieve Gorrell; Xingyi Song; Ian Roberts; Kalina Bontcheva (CoRR, 2019)

Comparing Topic-Aware Neural Networks for Bias Detection of News. - Ye Jiang 001; Yimin Wang 002; Xingyi Song; Diana Maynard (ECAI, 2020)

RP-DNN: A Tweet Level Propagation Context Based Deep Neural Networks for Early Rumor Detection in Social Media. - Jie Gao 009; Sooji Han; Xingyi Song; Fabio Ciravegna (LREC, 2020)

Using Deep Neural Networks with Intra- and Inter-Sentence Context to Classify Suicidal Behaviour. - Xingyi Song; Johnny Downs; Sumithra Velupillai; Rachel Holden; Maxim Kikoler; Kalina Bontcheva; Rina Dutta; Angus Roberts (LREC, 2020)

Classification Aware Neural Topic Model and its Application on a New COVID-19 Disinformation Corpus. - Xingyi Song; Johann Petrak; Ye Jiang 001; Iknoor Singh; Diana Maynard; Kalina Bontcheva (CoRR, 2020)

Using ontologies to map between research data and policymakers' presumptions: the experience of the KNOWMAK project. - Diana Maynard; Benedetto Lepori; Johann Petrak; Xingyi Song; Philippe Larédo (Scientometrics, 2020)

Categorising Fine-to-Coarse Grained Misinformation: An Empirical Study of COVID-19 Infodemic. - Ye Jiang 001; Xingyi Song; Carolina Scarton; Ahmet Aker; Kalina Bontcheva (CoRR, 2021)

Comparative Analysis of Engagement, Themes, and Causality of Ukraine-Related Debunks and Disinformation. - Iknoor Singh; Kalina Bontcheva; Xingyi Song; Carolina Scarton (SocInfo, 2022)

GATE Teamware 2: An open-source tool for collaborative document classification annotation. - David Wilby; Twin Karmakharm; Ian Roberts; Xingyi Song; Kalina Bontcheva (EACL (System Demonstrations), 2023)

Don't waste a single annotation: improving single-label classifiers through soft labels. - Ben Wu 001; Yue Li; Yida Mu; Carolina Scarton; Kalina Bontcheva; Xingyi Song (EMNLP (Findings), 2023)

VaxxHesitancy: A Dataset for Studying Hesitancy towards COVID-19 Vaccination on Twitter. - Yida Mu; Mali Jin; Charlie Grimshaw; Carolina Scarton; Kalina Bontcheva; Xingyi Song (ICWSM, 2023)

Categorising Fine-to-Coarse Grained Misinformation: An Empirical Study of the COVID-19 Infodemic. - Ye Jiang 001; Xingyi Song; Carolina Scarton; Iknoor Singh; Ahmet Aker; Kalina Bontcheva (RANLP, 2023)

Classifying COVID-19 Vaccine Narratives. - Yue Li; Carolina Scarton; Xingyi Song; Kalina Bontcheva (RANLP, 2023)

Classification-Aware Neural Topic Model Combined with Interpretable Analysis - for Conflict Classification. - Tianyu Liang; Yida Mu; Soonho Kim; Darline Kengne Kuate; Julie Lang; Rob Vos; Xingyi Song (RANLP, 2023)

SheffieldVeraAI at SemEval-2023 Task 3: Mono and Multilingual Approaches for News Genre, Topic and Persuasion Technique Classification. - Ben Wu 001; Olesya Razuvayevskaya; Freddy Heppell; João Augusto Leite; Carolina Scarton; Kalina Bontcheva; Xingyi Song (SemEval@ACL, 2023)

Team SheffieldVeraAI at SemEval-2023 Task 3: Mono and multilingual approaches for news genre, topic and persuasion technique classification. - Ben Wu 001; Olesya Razuvayevskaya; Freddy Heppell; João Augusto Leite; Carolina Scarton; Kalina Bontcheva; Xingyi Song (CoRR, 2023)

A Large-Scale Comparative Study of Accurate COVID-19 Information versus Misinformation. - Yida Mu; Ye Jiang 001; Freddy Heppell; Iknoor Singh; Carolina Scarton; Kalina Bontcheva; Xingyi Song (CoRR, 2023)

Finding Already Debunked Narratives via Multistage Retrieval: Enabling Cross-Lingual, Cross-Dataset and Zero-Shot Learning. - Iknoor Singh; Carolina Scarton; Xingyi Song; Kalina Bontcheva (CoRR, 2023)

Bio-SIEVE: Exploring Instruction Tuning Large Language Models for Systematic Review Automation. - Ambrose Robinson; William Thorne; Ben Wu 001; Abdullah Pandor; Munira Essat; Mark Stevenson; Xingyi Song (CoRR, 2023)

Comparison between parameter-efficient techniques and full fine-tuning: A case study on multilingual news article classification. - Olesya Razuvayevskaya; Ben Wu 001; João Augusto Leite; Freddy Heppell; Ivan Srba; Carolina Scarton; Kalina Bontcheva; Xingyi Song (CoRR, 2023)

An Exploratory Study on Utilising the Web of Linked Data for Product Data Mining. - Ziqi Zhang 001; Xingyi Song (SN Comput. Sci., 2023)

Similarity-Aware Multimodal Prompt Learning for fake news detection. - Ye Jiang 001; Xiaomin Yu; Yimin Wang 002; Xiaoman Xu; Xingyi Song; Diana Maynard (Inf. Sci., 2023)

Overview of the CLEF-2024 CheckThat! Lab: Check-Worthiness, Subjectivity, Persuasion, Roles, Authorities, and Adversarial Robustness. - Alberto Barrón-Cedeño; Firoj Alam; Julia Maria Struß; Preslav Nakov; Tanmoy Chakraborty 002; Tamer Elsayed; Piotr Przybyla; Tommaso Caselli; Giovanni Da San Martino; Fatima Haouari; Maram Hasanain; Chengkai Li 001; et al. (CLEF (2), 2024)

Overview of the CLEF-2024 CheckThat! Lab Task 6 on Robustness of Credibility Assessment with Adversarial Examples (InCrediblAE). - Piotr Przybyla; Ben Wu 001; Alexander V. Shvets; Yida Mu; Kim Cheng Sheang; Xingyi Song; Horacio Saggion (CLEF (Working Notes), 2024)

Identifying and Aligning Medical Claims Made on Social Media with Medical Evidence. - Anthony James Hughes; Xingyi Song (LREC/COLING, 2024)

Large Language Models Offer an Alternative to the Traditional Approach of Topic Modelling. - Yida Mu; Chun Dong; Kalina Bontcheva; Xingyi Song (LREC/COLING, 2024)

Examining Temporalities on Stance Detection towards COVID-19 Vaccination. - Yida Mu; Mali Jin; Kalina Bontcheva; Xingyi Song (LREC/COLING, 2024)

Examining the Limitations of Computational Rumor Detection Models Trained on Static Datasets. - Yida Mu; Xingyi Song; Kalina Bontcheva; Nikolaos Aletras (LREC/COLING, 2024)

Navigating Prompt Complexity for Zero-Shot Classification: A Study of Large Language Models in Computational Social Science. - Yida Mu; Ben P. Wu 001; William Thorne; Ambrose Robinson; Nikolaos Aletras; Carolina Scarton; Kalina Bontcheva; Xingyi Song (LREC/COLING, 2024)

The CLEF-2024 CheckThat! Lab: Check-Worthiness, Subjectivity, Persuasion, Roles, Authorities, and Adversarial Robustness. - Alberto Barrón-Cedeño; Firoj Alam; Tanmoy Chakraborty 002; Tamer Elsayed; Preslav Nakov; Piotr Przybyla; Julia Maria Struß; Fatima Haouari; Maram Hasanain; Federico Ruggeri; Xingyi Song; Reem Suwaileh (ECIR (5), 2024)

Enhancing Data Quality through Simple De-duplication: Navigating Responsible Computational Social Science Research. - Yida Mu; Mali Jin; Xingyi Song; Nikolaos Aletras (EMNLP, 2024)

Confidence Regulation Neurons in Language Models. - Alessandro Stolfo; Ben Wu 001; Wes Gurnee; Yonatan Belinkov; Xingyi Song; Mrinmaya Sachan; Neel Nanda (NeurIPS, 2024)

ShefCDTeam at SemEval-2024 Task 4: A Text-to-Text Model for Multi-Label Classification. - Meredith Gibbons; Maggie Mi; Xingyi Song; Aline Villavicencio (SemEval@NAACL, 2024)

SheffieldVeraAI at SemEval-2024 Task 4: Prompting and fine-tuning a Large Vision-Language Model for Binary Classification of Persuasion Techniques in Memes. - Charlie Grimshaw; Kalina Bontcheva; Xingyi Song (SemEval@NAACL, 2024)

Optimising LLM-Driven Machine Translation with Context-Aware Sliding Windows. - Xinye Yang; Yida Mu; Kalina Bontcheva; Xingyi Song (WMT, 2024)

Addressing Topic Granularity and Hallucination in Large Language Models for Topic Modelling. - Yida Mu; Peizhen Bai; Kalina Bontcheva; Xingyi Song (CoRR, 2024)

Comparison between parameter-efficient techniques and full fine-tuning: A case study on multilingual news article classification. - Olesya Razuvayevskaya; Ben Wu 001; João Augusto Leite; Freddy Heppell; Ivan Srba; Carolina Scarton; Kalina Bontcheva; Xingyi Song (Zenodo, 2024)

A Dataset for Analysing News Framing in Chinese Media. - Owen Cook; Yida Mu; Xinye Yang; Xingyi Song; Kalina Bontcheva (ICWSM, 2025)

Efficient Annotator Reliability Assessment and Sample Weighting for Knowledge-Based Misinformation Detection on Social Media. - Owen Cook; Charlie Grimshaw; Ben Peng Wu 001; Sophie Dillon; Jack Hicks; Luke Jones; Thomas Smith; Matyas Szert; Xingyi Song (NAACL (Findings), 2025)

Cross-modal augmentation for few-shot multimodal fake news detection. - Ye Jiang 001; Taihang Wang; Xiaoman Xu; Yimin Wang 002; Xingyi Song; Diana Maynard (Eng. Appl. Artif. Intell., 2025)

Chinese News Framing Dataset. - Owen Cook; Yida Mu; Xinye Yang; Xingyi Song; Kalina Bontcheva (Zenodo, 2025)

Efficient Annotator Reliability Assessment with EffiARA. - Owen Cook; Jake Vasilakes; Ian Roberts; Xingyi Song (CoRR, 2025)