Dr Xingyi Song

School of Computer Science

Lecturer in Computational Media Analysis, Natural Language Processing

Outreach Support

Member of the Natural Language Processing research group

Profile photo of Xingyi Song
Profile picture of Profile photo of Xingyi Song
x.song@sheffield.ac.uk
+44 114 222 1867

Full contact details

Dr Xingyi Song
School of Computer Science
Regent Court (DCS)
211 Portobello
Sheffield
S1 4DP
Profile

Dr Xingyi Song, a Lecturer in Computational Media Analysis at the Department of Computer Science, University of Sheffield. He is a member of the Natural Language Processing group and GATE team ()

Previously he worked as a machine translation specialist at Iconic Translation Machine (2015-2016) and Research Associate for several EU funded projects such as Kconnect, Knowmak and Risis2 (from 2016-2021)) at the University of Sheffield. 

He completed his MSc and PhD in Natural Language Processing group at the University of Sheffield. His research interests are in Natural Language Processing, Computational Social Science, sentiment analysis and Bio-medical text processing. 

Publications

Journal articles

  • Jiang Y, Wang T, Xu X, Wang Y, Song X & Maynard D (2025) . Engineering Applications of Artificial Intelligence, 142, 109931-109931.
  • Razuvayevskaya O, Wu B, Leite JA, Heppell F, Srba I, Scarton C, Bontcheva K & Song X (2024) . PLoS ONE, 19(5).
  • Mu Y, Jin M, Bontcheva K & Song X (2024) Examining temporalities on stance detection towards COVID-19 vaccination. 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings, 6732-6738.
  • Mu Y, Wu BP, Thorne W, Robinson A, Aletras N, Scarton C, Bontcheva K & Song X (2024) Navigating prompt complexity for zero-shot classification: a study of large language models in computational social science. Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), 12074-12086.
  • Mu Y, Song X, Bontcheva K & Aletras N (2024) Examining the limitations of computational rumor detection models trained on static datasets. 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings, 6739-6751.
  • Mu Y, Dong C, Bontcheva K & Song X (2024) Large language models offer an alternative to the traditional approach of topic modelling. Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), 10160-10171.
  • Mu Y, Jin M, Song X & Aletras N (2024) Enhancing Data Quality through Simple De-duplication: Navigating Responsible Computational Social Science Research.. CoRR, abs/2410.03545.
  • Scarton C, Prescott C, Bayliss C, Oakley C, Wright J, Wrigley S & Song X (2024) Message from the Organising Committee. Proceedings of the 25th Annual Conference of the European Association for Machine Translation Eamt 2024, 1, iv-v.
  • Scarton C, Oakley C, Prescott C, Wright J, Bayliss C, Wrigley S & Song X (2024) Message from the Organising Committee. Proceedings of the 25th Annual Conference of the European Association for Machine Translation Eamt 2024, 2, iv-v.
  • Wu B, Li Y, Mu Y, Scarton C, Bontcheva K & Song X (2023) . Findings of the Association for Computational Linguistics: EMNLP 2023, 5347-5355.
  • Li Y, Scarton C, Song X & Bontcheva K (2023) . Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing, 648-657.
  • Jiang Y, Yu X, Wang Y, Xu X, Song X & Maynard D (2023) . Information Sciences, 647.
  • Mu Y, Jin M, Grimshaw C, Scarton C, Bontcheva K & Song X (2023) . Proceedings of the International AAAI Conference on Web and Social Media, 17(1), 1052-1062.
  • Zhang Z & Song X (2023) . SN Computer Science, 4(1).
  • Chilman N, Song X, Roberts A, Tolani E, Stewart R, Chui Z, Birnie K, Harber-Aschan L, Gazard B, Chandran D , Sanyal J et al (2021) . BMJ Open, 11(3), e042274-e042274.
  • Song X, Petrak J, Jiang Y, Singh I, Maynard D & Bontcheva K (2021) . PLoS ONE, 16(2).
  • Maynard D, Lepori B, Petrak J, Song X & Laredo P (2020) . Scientometrics, 125(2), 1275-1290.
  • He L, Gilbert M & Song X (2019) . Structural and Multidisciplinary Optimization, 60(2), 835-847.
  • Jackson R, Kartoglu I, Stringer C, Gorrell G, Roberts A, Song X, Wu H, Agrawal A, Lui K, Groza T , Lewsley D et al (2018) . BMC Medical Informatics and Decision Making, 18(1).
  • Jackson R, Kartoglu IE, Agrawal A, Lui K, Wu H, Groza T, Roberts A, Gorrell G, Song X, Lewsley D , Northwood D et al (2017) .
  • Cook O, Mu Y, Yang X, Song X & Bontcheva K () . Proceedings of the International AAAI Conference on Web and Social Media, 19, 2402-2412.
  • Jiang Y, Yu X, Wang Y, Xu X, Song X & Maynard D () . SSRN Electronic Journal.

Book chapters

  • Barrón-Cedeño A, Alam F, Chakraborty T, Elsayed T, Nakov P, PrzybyÅ‚a P, Struß JM, Haouari F, Hasanain M, Ruggeri F , Song X et al (2024) , Lecture Notes in Computer Science (pp. 449-458). Springer Nature Switzerland
  • Barrón-Cedeño A, Alam F, Struß JM, Nakov P, Chakraborty T, Elsayed T, PrzybyÅ‚a P, Caselli T, Da San Martino G, Haouari F , Hasanain M et al (2024) , Lecture Notes in Computer Science (pp. 28-52). Springer Nature Switzerland

Conference proceedings

  • Cook O, Grimshaw C, Wu BP, Dillon S, Hicks J, Jones L, Smith T, Szert M & Song X (2025) . Findings of the Association for Computational Linguistics: NAACL 2025 (pp 3348-3358), April 2025 - April 2025.
  • Stolfo A, Wu B, Gurnee W, Belinkov Y, Song X, Sachan M & Nanda N (2024) Confidence regulation neurons in language models. Advances in Neural Information Processing Systems. Vancouver, Canada, 10 December 2024 - 10 December 2024.
  • Yang X, Mu Y, Bontcheva K & Song X (2024) . Proceedings of the Ninth Conference on Machine Translation (pp 1004-1010). Miami, Florida, USA, 15 November 2024 - 15 November 2024.
  • Hughes A & Song X (2024) Identifying and Aligning Medical Claims Made on Social Media with Medical Evidence. 2024 Joint International Conference on Computational Linguistics Language Resources and Evaluation Lrec Coling 2024 Main Conference Proceedings (pp 8580-8593)
  • Mu Y, Wu BP, Thorne W, Robinson A, Aletras N, Scarton C, Bontcheva K & Song X (2024) Navigating Prompt Complexity for Zero-Shot Classification: A Study of Large Language Models in Computational Social Science.. LREC/COLING (pp 12074-12086)
  • Mu Y, Dong C, Bontcheva K & Song X (2024) Large Language Models Offer an Alternative to the Traditional Approach of Topic Modelling.. LREC/COLING (pp 10160-10171)
  • Mu Y, Song X, Bontcheva K & Aletras N (2024) Examining the Limitations of Computational Rumor Detection Models Trained on Static Datasets.. LREC/COLING (pp 6739-6751)
  • Mu Y, Jin M, Bontcheva K & Song X (2024) Examining Temporalities on Stance Detection towards COVID-19 Vaccination.. LREC/COLING (pp 6732-6738)
  • Grimshaw C, Bontcheva K & Song X (2024) . Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024) (pp 2051-2056), June 2024 - June 2024.
  • PrzybyÅ‚a P, Wu B, Shvets A, Mu Y, Sheang KC, Song X & Saggion H (2024) Overview of the CLEF-2024 CheckThat! Lab Task 6 on Robustness of Credibility Assessment with Adversarial Examples (InCrediblAE). Ceur Workshop Proceedings, Vol. 3740 (pp 321-338)
  • Mu Y, Jin M, Song X & Aletras N (2024) . Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (pp 12477-12492), November 2024 - November 2024.
  • Gibbons M, Mi M, Song X & Villavicencio A (2024) . Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024) (pp 1860-1867), June 2024 - June 2024.
  • Jiang Y, Song X, Scarton C, Singh I, Aker A & Bontcheva K (2023) . Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing (pp 556-567). Varna, Bulgaria, 8 September 2023 - 8 September 2023.
  • Wilby D, Karmakharm T, Roberts I, Song X & Bontcheva K (2023) . Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations (pp 145-151), May 2023 - May 2023.
  • Wu B, Razuvayevskaya O, Heppell F, Leite JA, Scarton C, Bontcheva K & Song X (2023) . Proceedings of the The 17th International Workshop on Semantic Evaluation (SemEval-2023) (pp 1995-2008), July 2023 - July 2023.
  • Mu Y, Jiang Y, Heppell F, Singh I, Scarton C, Bontcheva K & Song X (2023) A Large-Scale Comparative Study of Accurate COVID-19 Information versus Misinformation.. CoRR, Vol. abs/2304.04811
  • Li Y, Scarton C, Song X & Bontcheva K (2023) Classifying COVID-19 Vaccine Narratives.. RANLP (pp 648-657)
  • Wu B, Li Y, Mu Y, Scarton C, Bontcheva K & Song X (2023) Don't waste a single annotation: improving single-label classifiers through soft labels.. EMNLP (Findings) (pp 5347-5355)
  • Singh I, Bontcheva K, Song X & Scarton C (2022) . Social Informatics: 13th International Conference, SocInfo 2022, Glasgow, UK, October 19–21, 2022, Proceedings (pp 128-143). Glasgow, UK, 19 October 2022 - 19 October 2022.
  • Singh I, Bontcheva K, Song X & Scarton C (2022) Comparative Analysis of Engagement, Themes, and Causality of Ukraine-Related Debunks and Disinformation.. SocInfo, Vol. 13618 (pp 128-143)
  • Jiang Y, Wang Y, Song X & Maynard D (2020) . Proceedings of 24th European Conference on Artificial Intelligence (ECAI 2020), Vol. 325 (pp 2054-2061). Santiago de Compostela, Spain, 29 August 2020 - 29 August 2020.
  • Gao J, Han S, Song X & Ciravegna F (2020) RP-DNN : a Tweet level propagation context based deep neural networks for early rumor detection in social media. Proceedings of the 12th Language Resources and Evaluation Conference (LREC 2020) (pp 6094-6105). Marseille, France, 11 May 2020 - 11 May 2020.
  • Song X, Downs J, Velupillai S, Holden R, Kikoler M, Bontcheva K, Dutta R & Roberts A (2020) Using deep neural networks with intra- And inter-sentence context to classify suicidal behaviour. Lrec 2020 12th International Conference on Language Resources and Evaluation Conference Proceedings (pp 1303-1310)
  • Jiang Y, Petrak J, Song X, Bontcheva K & Maynard D (2019) Team Bertha von Suttner at SemEval-2019 Task 4: Hyperpartisan ¾Ã²Ý¸£Àû Detection using ELMo Sentence Representation Convolutional Network. Proceedings of the 13th International Workshop on Semantic Evaluation (pp 840-844). Minneapolis, Minnesota, USA, 6 July 2019 - 6 July 2019.
  • Jiang Y, Petrak J, Song X, Bontcheva K & Maynard D (2019) . Proceedings of the 13th International Workshop on Semantic Evaluation, June 2019 - June 2019.
  • Song X, Petrak J & Roberts A (2018) . Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (pp 900-904). Brussels, Belgium, 31 October 2018 - 31 October 2018.
  • Song X, Petrak J & Roberts A (2018) A Deep Neural Network Sentence Level Classification Method with Context Information. 2018 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING (EMNLP 2018) (pp 900-904)
  • Jiang Y, Song X, Harrison J, QUegan S & Maynard DG (2017) Comparing Attitudes to Climate Change in the Media using sentiment analysis based on Latent Dirichlet Allocation.. Proc. of EMNLP Workshop "Natural Language Meets Journalism"
  • Blain F, Song X & Specia L (2016) Sheffield Systems for the English-Romanian Translation Task. Proceedings of the Annual Meeting of the Association for Computational Linguistics, Vol. 2 (pp 259-263)
  • Song X, Specia L & Cohn T (2014) Data selection for discriminative training in statistical machine translation. Proceedings of the 17th Annual Conference of the European Association for Machine Translation Eamt 2014 (pp 45-52)
  • Song X, Cohn T & Specia L (2013) BLEU deconstructed: Designing a Better MT Evaluation Metric. Proceedings of the 14th International Conference on Intelligent Text Processing and Computational Linguistics (CICLING)
  • Song X & Cohn T (2011) Regression and Ranking based Optimisation for Sentence Level Machine Translation Evaluation. Wmt 2011 6thworkshop on Statistical Machine Translation Proceedings of the Workshop (pp 123-129)
  • Liang T, Mu Y, Kim S, Kengne Kuate DL, Lang J, Vos R & Song X () . Proceedings of the Conference Recent Advances in Natural Language Processing - Large Language Models for Natural Language Processings (pp 666-672)

Datasets

  • Gao J, Han S & Song X .

Preprints

  • Cook O, Mu Y, Yang X, Song X & Bontcheva K (2025) , arXiv.
  • Cook O, Grimshaw C, Wu B, Dillon S, Hicks J, Jones L, Smith T, Szert M & Song X (2025) , arXiv.
  • Mu Y, Jin M, Song X & Aletras N (2024) , arXiv.
  • Jiang Y, Wang T, Xu X, Wang Y, Song X & Maynard D (2024) , arXiv.
  • Stolfo A, Wu B, Gurnee W, Belinkov Y, Song X, Sachan M & Nanda N (2024) , arXiv.
  • Hughes A & Song X (2024) , arXiv.
  • Mu Y, Bai P, Bontcheva K & Song X (2024) , arXiv.
  • Mu Y, Dong C, Bontcheva K & Song X (2024) , arXiv.
  • Wu B, Li Y, Mu Y, Scarton C, Bontcheva K & Song X (2023) , arXiv.
  • Korda A, Heide M, Nag A, Trulley V-N, Rogg H-V, Avram M, Eickhoff S, Jauch-Chara K, Wehkamp K, Song X , Martinetz T et al (2023) , Cold Spring Harbor Laboratory.
  • Mu Y, Song X, Bontcheva K & Aletras N (2023) , arXiv.
  • Liang T, Mu Y, Kim S, Kuate DLK, Lang J, Vos R & Song X (2023) , arXiv.
  • Razuvayevskaya O, Wu B, Leite JA, Heppell F, Srba I, Scarton C, Bontcheva K & Song X (2023) , arXiv.
  • Robinson A, Thorne W, Wu BP, Pandor A, Essat M, Stevenson M & Song X (2023) , arXiv.
  • Singh I, Scarton C, Song X & Bontcheva K (2023) , arXiv.
  • Mu Y, Wu BP, Thorne W, Robinson A, Aletras N, Scarton C, Bontcheva K & Song X (2023) , arXiv.
  • Mu Y, Jiang Y, Heppell F, Singh I, Scarton C, Bontcheva K & Song X (2023) , arXiv.
  • Mu Y, Jin M, Bontcheva K & Song X (2023) , arXiv.
  • Jiang Y, Yu X, Wang Y, Xu X, Song X & Maynard D (2023) , arXiv.
  • Wu B, Razuvayevskaya O, Heppell F, Leite JA, Scarton C, Bontcheva K & Song X (2023) , arXiv.
  • Mu Y, Jin M, Grimshaw C, Scarton C, Bontcheva K & Song X (2023) , arXiv.
  • Singh I, Bontcheva K, Song X & Scarton C (2022) , arXiv.
  • Li Y, Scarton C, Song X & Bontcheva K (2022) , arXiv.
  • Jiang Y, Song X, Scarton C, Singh I, Aker A & Bontcheva K (2022) , Research Square Platform LLC.
  • Jiang Y, Song X, Scarton C, Aker A & Bontcheva K (2021) , arXiv.
  • Gao J, Han S, Song X & Ciravegna F (2020) , arXiv.
  • Gorrell G, Song X & Roberts A (2018) , arXiv.
  • Song X, Petrak J & Roberts A (2018) , arXiv.
Grants
  • ASIMOV: AI-as-a-service, Innovate UK, 01/2024 - 03/2025, £142,691, as PI
  • vera.ai: , Horizon Europe, 09/2022 - 11/2025, £776,703, as Co-PI