Xingyi Song
Orcid: 0000-0002-4188-6974
According to our database1,
Xingyi Song
authored at least 37 papers
between 2011 and 2024.
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Bibliography
2024
Large Language Models Offer an Alternative to the Traditional Approach of Topic Modelling.
CoRR, 2024
The CLEF-2024 CheckThat! Lab: Check-Worthiness, Subjectivity, Persuasion, Roles, Authorities, and Adversarial Robustness.
Proceedings of the Advances in Information Retrieval, 2024
2023
Inf. Sci., November, 2023
SN Comput. Sci., 2023
Examining the Limitations of Computational Rumor Detection Models Trained on Static Datasets.
CoRR, 2023
Comparison between parameter-efficient techniques and full fine-tuning: A case study on multilingual news article classification.
CoRR, 2023
Bio-SIEVE: Exploring Instruction Tuning Large Language Models for Systematic Review Automation.
CoRR, 2023
Finding Already Debunked Narratives via Multistage Retrieval: Enabling Cross-Lingual, Cross-Dataset and Zero-Shot Learning.
CoRR, 2023
Navigating Prompt Complexity for Zero-Shot Classification: A Study of Large Language Models in Computational Social Science.
CoRR, 2023
A Large-Scale Comparative Study of Accurate COVID-19 Information versus Misinformation.
CoRR, 2023
Team SheffieldVeraAI at SemEval-2023 Task 3: Mono and multilingual approaches for news genre, topic and persuasion technique classification.
CoRR, 2023
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, 2023
Classification-Aware Neural Topic Model Combined with Interpretable Analysis - for Conflict Classification.
Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing, 2023
Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing, 2023
Categorising Fine-to-Coarse Grained Misinformation: An Empirical Study of the COVID-19 Infodemic.
Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing, 2023
VaxxHesitancy: A Dataset for Studying Hesitancy towards COVID-19 Vaccination on Twitter.
Proceedings of the Seventeenth International AAAI Conference on Web and Social Media, 2023
Don't waste a single annotation: improving single-label classifiers through soft labels.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
GATE Teamware 2: An open-source tool for collaborative document classification annotation.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics. EACL 2023, 2023
2022
Comparative Analysis of Engagement, Themes, and Causality of Ukraine-Related Debunks and Disinformation.
Proceedings of the Social Informatics - 13th International Conference, 2022
2021
Categorising Fine-to-Coarse Grained Misinformation: An Empirical Study of COVID-19 Infodemic.
CoRR, 2021
2020
Using ontologies to map between research data and policymakers' presumptions: the experience of the KNOWMAK project.
Scientometrics, 2020
Classification Aware Neural Topic Model and its Application on a New COVID-19 Disinformation Corpus.
CoRR, 2020
Using Deep Neural Networks with Intra- and Inter-Sentence Context to Classify Suicidal Behaviour.
Proceedings of The 12th Language Resources and Evaluation Conference, 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, 2020
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020
2019
Team Bertha von Suttner at SemEval-2019 Task 4: Hyperpartisan News Detection using ELMo Sentence Representation Convolutional Network.
Proceedings of the 13th International Workshop on Semantic Evaluation, 2019
2018
CogStack - experiences of deploying integrated information retrieval and extraction services in a large National Health Service Foundation Trust hospital.
BMC Medical Informatics Decis. Mak., 2018
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
2017
Comparing Attitudes to Climate Change in the Media using sentiment analysis based on Latent Dirichlet Allocation.
Proceedings of the 2017 Workshop: Natural Language Processing meets Journalism, 2017
2016
Proceedings of the First Conference on Machine Translation, 2016
2014
Proceedings of the 17th Annual conference of the European Association for Machine Translation, 2014
2013
Int. J. Comput. Linguistics Appl., 2013
2011
Proceedings of the Sixth Workshop on Statistical Machine Translation, 2011