• Fu Y, Guo S, Hoffswell J, S. Bursztyn V, Rossi R and Stasko J. "The Data Says Otherwise" — Towards Automated Fact-checking and Communication of Data Claims. Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology. (1-20).

    https://doi.org/10.1145/3654777.3676359

  • Samarinas C, Hsu W and Lee M. (2020). Latent Retrieval for Large-Scale Fact-Checking and Question Answering with NLI training 2020 IEEE 32nd International Conference on Tools with Artificial Intelligence (ICTAI). 10.1109/ICTAI50040.2020.00147. 978-1-7281-9228-4. (941-948).

    https://ieeexplore.ieee.org/document/9288228/

  • Bindris N, Cristianini N and Lawry J. (2020). Claim Consistency Checking Using Soft Logic. Machine Learning and Knowledge Extraction. 10.3390/make2030009. 2:3. (147-171).

    https://www.mdpi.com/2504-4990/2/3/9

  • Jo S, Trummer I, Yu W, Wang X, Yu C, Liu D and Mehta N. Verifying Text Summaries of Relational Data Sets. Proceedings of the 2019 International Conference on Management of Data. (299-316).

    https://doi.org/10.1145/3299869.3300074

  • Bindris N, Sudhahar S and Cristianini N. (2018). Fact Checking from Natural Text with Probabilistic Soft Logic. Advances in Intelligent Data Analysis XVII. 10.1007/978-3-030-01768-2_5. (52-61).

    http://link.springer.com/10.1007/978-3-030-01768-2_5

  • Wu Y, Agarwal P, Li C, Yang J and Yu C. (2017). Computational Fact Checking through Query Perturbations. ACM Transactions on Database Systems. 42:1. (1-41). Online publication date: 31-Mar-2017.

    https://doi.org/10.1145/2996453