Pepa Kostadinova Atanasova, PhD student at the University of Copenhagen, will present "Towards Explainable and Accountable Fact-Checking."
Pepa Atanasova is a postdoctoral researcher at the Natural Language Processing Section at the University of Copenhagen. Her main research interests lie in the area of explainable machine learning with applications in complex reasoning tasks such as fact checking and question answering.
- Atanasova, P., Simonsen, J. G., Lioma, C., & Augenstein, I. (2020, July). Generating Fact Checking Explanations. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (pp. 7352-7364).
- Atanasova, P., Simonsen, J. G., Lioma, C., & Augenstein, I. (2022, June). Diagnostics-Guided Explanation Generation. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 36, No. 10, pp. 10445-10453).
- Atanasova, P., Simonsen, J. G., Lioma, C., & Augenstein, I. (2022). Fact Checking with Insufficient Evidence. Transactions of the Association for Computational Linguistics 2022; 10 746–763.
uss topics such as equity, fairness, biases, ethics, and privacy. The presentations and discussions take place on Fridays from 9:00-10:00 a.m. Central Time on Zoom. The event is open to the public, and everyone is welcome to attend! To join a session, go to the current week's session, click the "access" link, and then the "PARTICIPATE online" button. Recordings of past talks can be found next to "access" if available. This series is hosted by the iSchool's Center for Informatics Research in Science and Scholarship (CIRSS). If you have any questions, please contact Jana Diesner.
This event is sponsored by Center for Informatics Research in Science and Scholarship