Bekoulis, Giannis, Christina Papagiannopoulou, and Nikos Deligiannis. “A review on fact extraction and verification.” arXiv preprint arXiv:2010.03001 (2020).Bekoulis, Giannis, Christina Papagiannopoulou, and Nikos Deligiannis. “Understanding the Impact of Evidence-Aware Sentence Selection for Fact Checking.” Proceedings of the Fourth Workshop on NLP for Internet Freedom: Censorship, Disinformation, and Propaganda. 2021.
The code https://github.com/bekou/evidence_aware_nlp4if the implementation of the methods developed for the papers Understanding the Impact of Evidence-Aware Sentence Selection for Fact Checking and A Review on Fact Extraction and Verification and studies the effects of the sentence retrieval task for fact checking.
Yang, Xiangyu, Giannis Bekoulis, and Nikos Deligiannis. “imec-ETRO-VUB at W-NUT 2020 Shared Task-3: A Multilabel BERT-based system for predicting COVID-19 events.” Proceedings of the Sixth Workshop on Noisy User-generated Text (W-NUT 2020). 2020.
The code https://github.com/Glovesme/covid19-event-extraction is the implementation of the Multilabel BERT system developed from the imec-ETRO-VUB team for the Shared Task-3 at WNUT 2020
Van Luong, Huynh, Boris Joukovsky, and Nikos Deligiannis. “Designing Interpretable Recurrent Neural Networks for Video Reconstruction via Deep Unfolding.” IEEE Transactions on Image Processing 30 (2021): 4099-4113.
The code https://gitlab.com/etrovub/mlsp/reweighted-rnn is the Implementation of reweighted-RNN in pytorch: a deep unfolding recurrent neural network for sequential signal reconstruction