Xingyi Song

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 52

Top Venues

University of Sheffield, UK (PHD)

Education History

University of Sheffield, UK

PHD

Publications

Yida Mu, Chun Dong, Kalina Bontcheva, Xingyi Song
Large Language Models Offer an Alternative to the Traditional Approach of Topic Modelling. CoRR (2024)
Yida Mu, Xingyi Song, Kalina Bontcheva, Nikolaos Aletras
Examining the Limitations of Computational Rumor Detection Models Trained on Static Datasets. LREC/COLING (2024)
Anthony James Hughes, Xingyi Song
Identifying and Aligning Medical Claims Made on Social Media with Medical Evidence. CoRR (2024)
Yida Mu, Mali Jin, Kalina Bontcheva, Xingyi Song
Examining Temporalities on Stance Detection towards COVID-19 Vaccination. LREC/COLING (2024)
Yida Mu, Peizhen Bai, Kalina Bontcheva, Xingyi Song
Addressing Topic Granularity and Hallucination in Large Language Models for Topic Modelling. CoRR (2024)
Yida Mu, Ben P. Wu, William Thorne, Ambrose Robinson, Nikolaos Aletras, Carolina Scarton, Kalina Bontcheva, Xingyi Song
Navigating Prompt Complexity for Zero-Shot Classification: A Study of Large Language Models in Computational Social Science. LREC/COLING (2024)
Piotr Przybyla, Ben Wu, Alexander V. Shvets, Yida Mu, Kim Cheng Sheang, Xingyi Song, Horacio Saggion
Overview of the CLEF-2024 CheckThat! Lab Task 6 on Robustness of Credibility Assessment with Adversarial Examples (InCrediblAE). CLEF (Working Notes) (2024)
Ye Jiang, Taihang Wang, Xiaoman Xu, Yimin Wang, Xingyi Song, Diana Maynard
Cross-Modal Augmentation for Few-Shot Multimodal Fake News Detection. CoRR (2024)
Alessandro Stolfo, Ben Wu, Wes Gurnee, Yonatan Belinkov, Xingyi Song, Mrinmaya Sachan, Neel Nanda
Confidence Regulation Neurons in Language Models. CoRR (2024)
Alberto Barrón-Cedeño, Firoj Alam, Tanmoy Chakraborty, Tamer Elsayed, Preslav Nakov, Piotr Przybyla, Julia Maria Struß, Fatima Haouari, Maram Hasanain, Federico Ruggeri, Xingyi Song, Reem Suwaileh
The CLEF-2024 CheckThat! Lab: Check-Worthiness, Subjectivity, Persuasion, Roles, Authorities, and Adversarial Robustness. ECIR (5) (2024)
Yida Mu, Chun Dong, Kalina Bontcheva, Xingyi Song
Large Language Models Offer an Alternative to the Traditional Approach of Topic Modelling. LREC/COLING (2024)
Anthony James Hughes, Xingyi Song
Identifying and Aligning Medical Claims Made on Social Media with Medical Evidence. LREC/COLING (2024)
Yue Li, Carolina Scarton, Xingyi Song, Kalina Bontcheva
Classifying COVID-19 Vaccine Narratives. RANLP (2023)
Yida Mu, Mali Jin, Kalina Bontcheva, Xingyi Song
Examining Temporalities on Stance Detection Towards COVID-19 Vaccination. CoRR (2023)
Ziqi Zhang, Xingyi Song
An Exploratory Study on Utilising the Web of Linked Data for Product Data Mining. SN Comput. Sci. 4 (1) (2023)
Olesya Razuvayevskaya, Ben Wu, João Augusto Leite, Freddy Heppell, Ivan Srba, Carolina Scarton, Kalina Bontcheva, Xingyi Song
Comparison between parameter-efficient techniques and full fine-tuning: A case study on multilingual news article classification. CoRR (2023)
Ye Jiang, Xiaomin Yu, Yimin Wang, Xiaoman Xu, Xingyi Song, Diana Maynard
Similarity-Aware Multimodal Prompt Learning for fake news detection. Inf. Sci. 647 (2023)
Ambrose Robinson, William Thorne, Ben P. Wu, Abdullah Pandor, Munira Essat, Mark Stevenson, Xingyi Song
Bio-SIEVE: Exploring Instruction Tuning Large Language Models for Systematic Review Automation. CoRR (2023)
Ben Wu, Olesya Razuvayevskaya, Freddy Heppell, João Augusto Leite, Carolina Scarton, Kalina Bontcheva, Xingyi Song
Team SheffieldVeraAI at SemEval-2023 Task 3: Mono and multilingual approaches for news genre, topic and persuasion technique classification. CoRR (2023)
Yida Mu, Xingyi Song, Kalina Bontcheva, Nikolaos Aletras
Examining the Limitations of Computational Rumor Detection Models Trained on Static Datasets. CoRR (2023)
Tianyu Liang, Yida Mu, Soonho Kim, Darline Larissa Kengne Kuate, Julie Lang, Rob Vos, Xingyi Song
Classification-Aware Neural Topic Model Combined With Interpretable Analysis - For Conflict Classification. CoRR (2023)
Yida Mu, Ben P. Wu, William Thorne, Ambrose Robinson, Nikolaos Aletras, Carolina Scarton, Kalina Bontcheva, Xingyi Song
Navigating Prompt Complexity for Zero-Shot Classification: A Study of Large Language Models in Computational Social Science. CoRR (2023)
Tianyu Liang, Yida Mu, Soonho Kim, Darline Kengne Kuate, Julie Lang, Rob Vos, Xingyi Song
Classification-Aware Neural Topic Model Combined with Interpretable Analysis - for Conflict Classification. RANLP (2023)
Ye Jiang, Xingyi Song, Carolina Scarton, Iknoor Singh, Ahmet Aker, Kalina Bontcheva
Categorising Fine-to-Coarse Grained Misinformation: An Empirical Study of the COVID-19 Infodemic. RANLP (2023)
Yida Mu, Mali Jin, Charlie Grimshaw, Carolina Scarton, Kalina Bontcheva, Xingyi Song
VaxxHesitancy: A Dataset for Studying Hesitancy Towards COVID-19 Vaccination on Twitter. CoRR (2023)
Ben Wu, Olesya Razuvayevskaya, Freddy Heppell, João Augusto Leite, Carolina Scarton, Kalina Bontcheva, Xingyi Song
SheffieldVeraAI at SemEval-2023 Task 3: Mono and Multilingual Approaches for News Genre, Topic and Persuasion Technique Classification. SemEval@ACL (2023)
Yida Mu, Mali Jin, Charlie Grimshaw, Carolina Scarton, Kalina Bontcheva, Xingyi Song
VaxxHesitancy: A Dataset for Studying Hesitancy towards COVID-19 Vaccination on Twitter. ICWSM (2023)
Iknoor Singh, Carolina Scarton, Xingyi Song, Kalina Bontcheva
Finding Already Debunked Narratives via Multistage Retrieval: Enabling Cross-Lingual, Cross-Dataset and Zero-Shot Learning. CoRR (2023)
Yida Mu, Ye Jiang, Freddy Heppell, Iknoor Singh, Carolina Scarton, Kalina Bontcheva, Xingyi Song
A Large-Scale Comparative Study of Accurate COVID-19 Information versus Misinformation. CoRR (2023)
Ben Wu, Yue Li, Yida Mu, Carolina Scarton, Kalina Bontcheva, Xingyi Song
Don't waste a single annotation: improving single-label classifiers through soft labels. EMNLP (Findings) (2023)
David Wilby, Twin Karmakharm, Ian Roberts, Xingyi Song, Kalina Bontcheva
GATE Teamware 2: An open-source tool for collaborative document classification annotation. EACL (System Demonstrations) (2023)
Ben Wu, Yue Li, Yida Mu, Carolina Scarton, Kalina Bontcheva, Xingyi Song
Don't Waste a Single Annotation: Improving Single-Label Classifiers Through Soft Labels. CoRR (2023)
Ye Jiang, Xiaomin Yu, Yimin Wang, Xiaoman Xu, Xingyi Song, Diana Maynard
Similarity-Aware Multimodal Prompt Learning for Fake News Detection. CoRR (2023)
Yue Li, Carolina Scarton, Xingyi Song, Kalina Bontcheva
Classifying COVID-19 vaccine narratives. CoRR (2022)
Iknoor Singh, Kalina Bontcheva, Xingyi Song, Carolina Scarton
Comparative Analysis of Engagement, Themes, and Causality of Ukraine-Related Debunks and Disinformation. CoRR (2022)
Iknoor Singh, Kalina Bontcheva, Xingyi Song, Carolina Scarton
Comparative Analysis of Engagement, Themes, and Causality of Ukraine-Related Debunks and Disinformation. SocInfo (2022)
Ye Jiang, Xingyi Song, Carolina Scarton, Ahmet Aker, Kalina Bontcheva
Categorising Fine-to-Coarse Grained Misinformation: An Empirical Study of COVID-19 Infodemic. CoRR (2021)
Ziqi Zhang, Xingyi Song
An Exploratory Study on Utilising the Web of Linked Data for Product Data Mining. CoRR (2021)
Xingyi Song, Johann Petrak, Ye Jiang, Iknoor Singh, Diana Maynard, Kalina Bontcheva
Classification Aware Neural Topic Model and its Application on a New COVID-19 Disinformation Corpus. CoRR (2020)
Xingyi Song, Johnny Downs, Sumithra Velupillai, Rachel Holden, Maxim Kikoler, Kalina Bontcheva, Rina Dutta, Angus Roberts
Using Deep Neural Networks with Intra- and Inter-Sentence Context to Classify Suicidal Behaviour. LREC (2020)
Jie Gao, Sooji Han, Xingyi Song, Fabio Ciravegna
RP-DNN: A Tweet Level Propagation Context Based Deep Neural Networks for Early Rumor Detection in Social Media. LREC (2020)
Jie Gao, Sooji Han, Xingyi Song, Fabio Ciravegna
RP-DNN: A Tweet level propagation context based deep neural networks for early rumor detection in Social Media. CoRR (2020)
Ye Jiang, Yimin Wang, Xingyi Song, Diana Maynard
Comparing Topic-Aware Neural Networks for Bias Detection of News. ECAI (2020)
Diana Maynard, Benedetto Lepori, Johann Petrak, Xingyi Song, Philippe Larédo
Using ontologies to map between research data and policymakers' presumptions: the experience of the KNOWMAK project. Scientometrics 125 (2) (2020)
Ye Jiang, Johann Petrak, Xingyi Song, Kalina Bontcheva, Diana Maynard
Team Bertha von Suttner at SemEval-2019 Task 4: Hyperpartisan News Detection using ELMo Sentence Representation Convolutional Network. SemEval@NAACL-HLT (2019)
Mark A. Greenwood, Mehmet E. Bakir, Genevieve Gorrell, Xingyi Song, Ian Roberts, Kalina Bontcheva
Online Abuse of UK MPs from 2015 to 2019: Working Paper. CoRR (2019)
Xingyi Song, Johann Petrak, Angus Roberts
A Deep Neural Network Sentence Level Classification Method with Context Information. CoRR (2018)
Genevieve Gorrell, Xingyi Song, Angus Roberts
Bio-YODIE: A Named Entity Linking System for Biomedical Text. CoRR (2018)
Richard G. Jackson, Ismail Kartoglu, Clive Stringer, Genevieve Gorrell, Angus Roberts, Xingyi Song, Honghan Wu, Asha Agrawal, Kenneth Lui, Tudor Groza, Damian Lewsley, Doug Northwood, Amos Folarin, Robert Stewart, Richard J. B. Dobson
CogStack - experiences of deploying integrated information retrieval and extraction services in a large National Health Service Foundation Trust hospital. BMC Medical Informatics Decis. Mak. 18 (1) (2018)
Xingyi Song, Johann Petrak, Angus Roberts
A Deep Neural Network Sentence Level Classification Method with Context Information. EMNLP (2018)
Ye Jiang, Xingyi Song, Jackie Harrison, Shaun Quegan, Diana Maynard
Comparing Attitudes to Climate Change in the Media using sentiment analysis based on Latent Dirichlet Allocation. NLPmJ@EMNLP (2017)
Frédéric Blain, Xingyi Song, Lucia Specia
Sheffield Systems for the English-Romanian WMT Translation Task. WMT (2016)
Xingyi Song, Lucia Specia, Trevor Cohn
Data selection for discriminative training in statistical machine translation. EAMT (2014)
Xingyi Song, Trevor Cohn, Lucia Specia
BLEU Deconstructed: Designing a Better MT Evaluation Metric. Int. J. Comput. Linguistics Appl. 4 (2) (2013)
Xingyi Song, Trevor Cohn
Regression and Ranking based Optimisation for Sentence Level MT Evaluation. WMT@EMNLP (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

Xingyi Song