Publications

• Elena Kochkina, Tamanna Hossain, Robert L. Logan IV, Miguel Arana Catania, Rob Procter, Arkaitz Zubiaga, Sameer Singh, Yulan He, Maria Liakata. Evaluating the Generalisability of Neural Rumour Verification Models, Under review at Information Processing and Management journal.
• Miguel Arana Catania, Elena Kochkina, Arkaitz Zubiaga, Maria Liakata, Rob Procter, Yulan He. Graph and Attention Based Fact Verification and Heterogeneous COVID-19 Claims Dataset, To appear at NAACL, 2022.
• John Dougrez Lewis, Elena Kochkina, Miguel Arana Catania, Maria Liakata, Yulan He. PHEMEPlus: Enriching Social Media Rumour Verification with External Evidence, To appear at the Workshop on Fact Extraction and VERification (FEVER), 2022.
• Panayiotis Smeros, Jérémie Rappaz, Marya Bazzi, Elena Kochkina, Maria Liakata, Karl Aberer. Mediate 2021: News Media and Computational Journalism Workshop, Workshop Proceedings of the 15th International AAAI Conference on Web and Social Media, DOI: 10.36190/2021.82, 2021.
• Rabab Alkhalifa, Elena Kochkina, Arkaitz Zubiaga. Opinions are Made to be Changed: Adaptive Stance Classification, Workshop on Open Challenges in Online Social Networks (OASIS) at ACMHT21, 2021
• John Dougrez Lewis, Maria Liakata, Elena Kochkina,Yulan He. Learning Disentangled Latent Topics for Twitter Rumour Veracity Classification, ACL Findings, 2021.
• Gabriele Pergola, Elena Kochkina, Lin Gui, Maria Liakata, Yulan He. Boosting Low-Resource Biomedical QA via Entity-Aware Masking Strategies, EACL, 2021.
• Rabab Alkhalifa, Theodore Yoong, Elena Kochkina, Arkaitz Zubiaga, Maria Liakata. QMUL-SDS at CheckThat! 2020: Determining COVID-19 Tweet Check-Worthiness Using an Enhanced CT-BERT with Numeric Expressions., Conference and Labs of the Evaluation Forum - CLEF CheckThat! Lab 2020.
• Elena Kochkina, Maria Liakata. Estimating predictive uncertainty for rumour verification models, ACL, 2020.
• Elena Kochkina. Rumour Stance and Veracity Classification in Social Media Conversations, Doctoral dissertation, University of Warwick, 2019.
• Harish Tayyar Madabushi, Elena Kochkina, Michael Castelle. Cost-Sensitive BERT for Generalisable Sentence Classification on Imbalanced Data, NLP for Information Freedom (NLP4IF), EMNLP, 2019.
• Genevieve Gorrell, Elena Kochkina, Maria Liakata, Ahmet Aker, Arkaitz Zubiaga, Kalina Bontcheva, Leon Derczynski. SemEval-2019 task 7: RumourEval, determining rumour veracity and support for rumours, SemEval ACL, 2019.
• Elena Kochkina, Maria Liakata, Arkaitz Zubiaga, All-in-one: Multi-task Learning for Rumour Verification, COLING, 2018.
• Arkaitz Zubiaga, Elena Kochkina, Maria Liakata, Rob Procter, Michal Lukasik, Kalina Bontcheva, Trevor Cohn, Isabelle Augenstein. Discourse-Aware Rumour Stance Classification in Social Media Using Sequential Classifiers, Information Processing \& Management, 2017.
• Elena Kochkina, Maria Liakata, and Isabelle Augenstein. Turing at SemEval-2017 Task 8: Sequential Approach to Rumour Stance Classification with Branch-LSTM, SemEval ACL, 2017.
• Arkaitz Zubiaga, Elena Kochkina, Maria Liakata, Rob Procter, Michal Lukasik. Stance classification in rumours as a sequential task exploiting the tree structure of social media conversations, COLING, 2016.