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Xingyi Song
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2020 – today
- 2024
- [c29]Alberto Barrón-Cedeño
, Firoj Alam
Overview of the CLEF-2024 CheckThat! Lab: Check-Worthiness, Subjectivity, Persuasion, Roles, Authorities, and Adversarial Robustness. CLEF (2) 2024: 28-52 - [c28]Piotr Przybyla
Overview of the CLEF-2024 CheckThat! Lab Task 6 on Robustness of Credibility Assessment with Adversarial Examples (InCrediblAE). CLEF (Working Notes) 2024: 321-338 - [c27]Yida Mu, Mali Jin, Kalina Bontcheva, Xingyi Song:
Examining Temporalities on Stance Detection towards COVID-19 Vaccination. LREC/COLING 2024: 6732-6738 - [c26]Yida Mu, Xingyi Song, Kalina Bontcheva, Nikolaos Aletras:
Examining the Limitations of Computational Rumor Detection Models Trained on Static Datasets. LREC/COLING 2024: 6739-6751 - [c25]Anthony James Hughes, Xingyi Song:
Identifying and Aligning Medical Claims Made on Social Media with Medical Evidence. LREC/COLING 2024: 8580-8593 - [c24]Yida Mu, Chun Dong, Kalina Bontcheva, Xingyi Song:
Large Language Models Offer an Alternative to the Traditional Approach of Topic Modelling. LREC/COLING 2024: 10160-10171 - [c23]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: 12074-12086 - [c22]Alberto Barrón-Cedeño, Firoj Alam, Tanmoy Chakraborty, Tamer Elsayed, Preslav Nakov, Piotr Przybyla
The CLEF-2024 CheckThat! Lab: Check-Worthiness, Subjectivity, Persuasion, Roles, Authorities, and Adversarial Robustness. ECIR (5) 2024: 449-458 - [c21]Yida Mu, Mali Jin, Xingyi Song, Nikolaos Aletras:
Enhancing Data Quality through Simple De-duplication: Navigating Responsible Computational Social Science Research. EMNLP 2024: 12477-12492 - [c20]Meredith Gibbons, Maggie Mi, Xingyi Song, Aline Villavicencio:
ShefCDTeam at SemEval-2024 Task 4: A Text-to-Text Model for Multi-Label Classification. SemEval@NAACL 2024: 1860-1867 - [c19]Charlie Grimshaw, Kalina Bontcheva, Xingyi Song:
SheffieldVeraAI at SemEval-2024 Task 4: Prompting and fine-tuning a Large Vision-Language Model for Binary Classification of Persuasion Techniques in Memes. SemEval@NAACL 2024: 2051-2056 - [c18]Xinye Yang, Yida Mu, Kalina Bontcheva, Xingyi Song:
Optimising LLM-Driven Machine Translation with Context-Aware Sliding Windows. WMT 2024: 1004-1010 - [e2]Carolina Scarton, Charlotte Prescott, Chris Bayliss, Chris Oakley, Joanna Wright, Stuart Wrigley, Xingyi Song, Edward Gow-Smith, Rachel Bawden, Víctor M. Sánchez-Cartagena, Patrick Cadwell, Ekaterina Lapshinova-Koltunski, Vera Cabarrão, Konstantinos Chatzitheodorou, Mary Nurminen, Diptesh Kanojia, Helena Moniz:
Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1), EAMT 2024, Sheffield, UK, June 24-27, 2024. European Association for Machine Translation (EAMT) 2024, ISBN 978-1-0686907-0-9 [contents] - [e1]Carolina Scarton, Charlotte Prescott, Chris Bayliss, Chris Oakley, Joanna Wright, Stuart Wrigley, Xingyi Song, Edward Gow-Smith, Mikel Forcada, Helena L. Moniz:
Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 2), EAMT 2024, Sheffield, UK, June 24-27, 2024. European Association for Machine Translation (EAMT) 2024, ISBN 978-1-0686907-1-6 [contents] - [i27]Yida Mu, Chun Dong, Kalina Bontcheva, Xingyi Song:
Large Language Models Offer an Alternative to the Traditional Approach of Topic Modelling. CoRR abs/2403.16248 (2024) - [i26]Yida Mu, Peizhen Bai, Kalina Bontcheva, Xingyi Song:
Addressing Topic Granularity and Hallucination in Large Language Models for Topic Modelling. CoRR abs/2405.00611 (2024) - [i25]Anthony James Hughes, Xingyi Song:
Identifying and Aligning Medical Claims Made on Social Media with Medical Evidence. CoRR abs/2405.11219 (2024) - [i24]Alessandro Stolfo, Ben Wu, Wes Gurnee, Yonatan Belinkov, Xingyi Song, Mrinmaya Sachan, Neel Nanda:
Confidence Regulation Neurons in Language Models. CoRR abs/2406.16254 (2024) - [i23]Ye Jiang, Taihang Wang, Xiaoman Xu, Yimin Wang, Xingyi Song, Diana Maynard:
Cross-Modal Augmentation for Few-Shot Multimodal Fake News Detection. CoRR abs/2407.12880 (2024) - [i22]Yida Mu, Mali Jin, Xingyi Song, Nikolaos Aletras:
Enhancing Data Quality through Simple De-duplication: Navigating Responsible Computational Social Science Research. CoRR abs/2410.03545 (2024) - 2023
- [j5]Ye Jiang
Similarity-Aware Multimodal Prompt Learning for fake news detection. Inf. Sci. 647: 119446 (2023) - [j4]Ziqi Zhang
An Exploratory Study on Utilising the Web of Linked Data for Product Data Mining. SN Comput. Sci. 4(1): 15 (2023) - [c17]David Wilby
GATE Teamware 2: An open-source tool for collaborative document classification annotation. EACL (System Demonstrations) 2023: 145-151 - [c16]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: 5347-5355 - [c15]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: 1052-1062 - [c14]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: 556-567 - [c13]Yue Li, Carolina Scarton, Xingyi Song, Kalina Bontcheva:
Classifying COVID-19 Vaccine Narratives. RANLP 2023: 648-657 - [c12]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: 666-672 - [c11]Ben Wu, Olesya Razuvayevskaya, Freddy Heppell
SheffieldVeraAI at SemEval-2023 Task 3: Mono and Multilingual Approaches for News Genre, Topic and Persuasion Technique Classification. SemEval@ACL 2023: 1995-2008 - [i21]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 abs/2301.06660 (2023) - [i20]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 abs/2303.09421 (2023) - [i19]Ye Jiang, Xiaomin Yu, Yimin Wang, Xiaoman Xu, Xingyi Song, Diana Maynard:
Similarity-Aware Multimodal Prompt Learning for Fake News Detection. CoRR abs/2304.04187 (2023) - [i18]Yida Mu, Mali Jin, Kalina Bontcheva, Xingyi Song:
Examining Temporalities on Stance Detection Towards COVID-19 Vaccination. CoRR abs/2304.04806 (2023) - [i17]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 abs/2304.04811 (2023) - [i16]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 abs/2305.14310 (2023) - [i15]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 abs/2308.05680 (2023) - [i14]Ambrose Robinson, William Thorne, Ben P. Wu, Abdullah Pandor
Bio-SIEVE: Exploring Instruction Tuning Large Language Models for Systematic Review Automation. CoRR abs/2308.06610 (2023) - [i13]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 abs/2308.07282 (2023) - [i12]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 abs/2308.15232 (2023) - [i11]Yida Mu, Xingyi Song, Kalina Bontcheva, Nikolaos Aletras:
Examining the Limitations of Computational Rumor Detection Models Trained on Static Datasets. CoRR abs/2309.11576 (2023) - [i10]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 abs/2311.05265 (2023) - 2022
- [c10]Iknoor Singh
Comparative Analysis of Engagement, Themes, and Causality of Ukraine-Related Debunks and Disinformation. SocInfo 2022: 128-143 - [i9]Yue Li, Carolina Scarton, Xingyi Song, Kalina Bontcheva:
Classifying COVID-19 vaccine narratives. CoRR abs/2207.08522 (2022) - [i8]Iknoor Singh, Kalina Bontcheva, Xingyi Song, Carolina Scarton:
Comparative Analysis of Engagement, Themes, and Causality of Ukraine-Related Debunks and Disinformation. CoRR abs/2212.07457 (2022) - 2021
- [i7]Ye Jiang, Xingyi Song, Carolina Scarton, Ahmet Aker, Kalina Bontcheva:
Categorising Fine-to-Coarse Grained Misinformation: An Empirical Study of COVID-19 Infodemic. CoRR abs/2106.11702 (2021) - [i6]Ziqi Zhang, Xingyi Song:
An Exploratory Study on Utilising the Web of Linked Data for Product Data Mining. CoRR abs/2109.01411 (2021) - 2020
- [j3]Diana Maynard
Using ontologies to map between research data and policymakers' presumptions: the experience of the KNOWMAK project. Scientometrics 125(2): 1275-1290 (2020) - [c9]Ye Jiang, Yimin Wang, Xingyi Song
Comparing Topic-Aware Neural Networks for Bias Detection of News. ECAI 2020: 2054-2061 - [c8]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: 1303-1310 - [c7]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: 6094-6105 - [i5]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 abs/2002.12683 (2020) - [i4]Xingyi Song, Johann Petrak, Ye Jiang, Iknoor Singh, Diana Maynard
Classification Aware Neural Topic Model and its Application on a New COVID-19 Disinformation Corpus. CoRR abs/2006.03354 (2020)
2010 – 2019
- 2019
- [c6]Ye Jiang
Team Bertha von Suttner at SemEval-2019 Task 4: Hyperpartisan News Detection using ELMo Sentence Representation Convolutional Network. SemEval@NAACL-HLT 2019: 840-844 - [i3]Mark A. Greenwood, Mehmet E. Bakir, Genevieve Gorrell, Xingyi Song, Ian Roberts
Online Abuse of UK MPs from 2015 to 2019: Working Paper. CoRR abs/1904.11230 (2019) - 2018
- [j2]Richard G. Jackson
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): 47:1-47:13 (2018) - [c5]Xingyi Song, Johann Petrak, Angus Roberts
A Deep Neural Network Sentence Level Classification Method with Context Information. EMNLP 2018: 900-904 - [i2]Xingyi Song, Johann Petrak, Angus Roberts:
A Deep Neural Network Sentence Level Classification Method with Context Information. CoRR abs/1809.00934 (2018) - [i1]Genevieve Gorrell, Xingyi Song, Angus Roberts:
Bio-YODIE: A Named Entity Linking System for Biomedical Text. CoRR abs/1811.04860 (2018) - 2017
- [c4]Ye Jiang
Comparing Attitudes to Climate Change in the Media using sentiment analysis based on Latent Dirichlet Allocation. NLPmJ@EMNLP 2017: 25-30 - 2016
- [b1]Xingyi Song:
Training machine translation for human acceptability. University of Sheffield, UK, 2016 - [c3]Frédéric Blain, Xingyi Song, Lucia Specia:
Sheffield Systems for the English-Romanian WMT Translation Task. WMT 2016: 259-263 - 2014
- [c2]Xingyi Song, Lucia Specia, Trevor Cohn:
Data selection for discriminative training in statistical machine translation. EAMT 2014: 45-52 - 2013
- [j1]Xingyi Song, Trevor Cohn, Lucia Specia:
BLEU Deconstructed: Designing a Better MT Evaluation Metric. Int. J. Comput. Linguistics Appl. 4(2): 29-44 (2013) - 2011
- [c1]Xingyi Song, Trevor Cohn:
Regression and Ranking based Optimisation for Sentence Level MT Evaluation. WMT@EMNLP 2011: 123-129
Coauthor Index
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last updated on 2024-11-22 20:39 CET by the dblp team
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