| Joint entity recognition and relation extraction as a multi-head selection problem G Bekoulis, J Deleu, T Demeester, C Develder Expert Systems with Applications 114, 34-45, 2018 | 456 | 2018 |
| Adversarial training for multi-context joint entity and relation extraction G Bekoulis, J Deleu, T Demeester, C Develder EMNLP 2018, 2018 | 211 | 2018 |
| Zero-shot cross-lingual transfer with meta learning F Nooralahzadeh, G Bekoulis, J Bjerva, I Augenstein EMNLP 2020, 2020 | 119 | 2020 |
| Learned gradient compression for distributed deep learning L Abrahamyan, Y Chen, G Bekoulis, N Deligiannis IEEE Transactions on Neural Networks and Learning Systems 33 (12), 7330-7344, 2021 | 43 | 2021 |
| A Review on Fact Extraction and Verification G Bekoulis, C Papagiannopoulou, N Deligiannis ACM Computing Surveys 2021, 2020 | 43 | 2020 |
| Graph convolutional neural networks with node transition probability-based message passing and DropNode regularization TH Do, DM Nguyen, G Bekoulis, A Munteanu, N Deligiannis Expert Systems with Applications 174, 114711, 2021 | 32 | 2021 |
| An attentive neural architecture for joint segmentation and parsing and its application to real estate ads G Bekoulis, J Deleu, T Demeester, C Develder Expert Systems with Applications 102, 100-112, 2018 | 30 | 2018 |
| Sub-event detection from Twitter streams as a sequence labeling problem G Bekoulis, J Deleu, T Demeester, C Develder NAACL 2019, 2019 | 28 | 2019 |
| Context-aware deep Markov random fields for fake news detection TH Do, M Berneman, J Patro, G Bekoulis, N Deligiannis IEEE Access 9, 130042-130054, 2021 | 26 | 2021 |
| Solving arithmetic word problems by scoring equations with recursive neural networks K Zaporojets, G Bekoulis, J Deleu, T Demeester, C Develder Expert Systems with Applications 174, 114704, 2021 | 22 | 2021 |
| Reconstructing the house from the ad: Structured prediction on real estate classifieds G Bekoulis, J Deleu, T Demeester, C Develder EACL 2017, 2017 | 18 | 2017 |
| Graph-based term weighting scheme for topic modeling G Bekoulis, F Rousseau SoMeRiS @ ICDM 2016, 2016 | 12 | 2016 |
| Predicting suicide risk from online postings in Reddit: the UGent-IDLab submission to the CLPysch 2019 Shared Task A SK Bitew, I Bekoulis, J Deleu, L Sterckx, K Zaporojets, T Demeester, ... CLPsych2019 @ NAACL-HLT 2019, 2019 | 11 | 2019 |
| Understanding the Impact of Evidence-Aware Sentence Selection for Fact Checking G Bekoulis, C Papagiannopoulou, N Deligiannis NLP4IF @ NAACL 2021, 2021 | 8 | 2021 |
| Traffic event detection as a slot filling problem X Yang, G Bekoulis, N Deligiannis Engineering Applications of Artificial Intelligence 123, 106202, 2023 | 3 | 2023 |
| Autoencoder-Based Gradient Compression for Distributed Training L Abrahamyan, Y Chen, G Bekoulis, N Deligiannis 2021 29th European Signal Processing Conference (EUSIPCO), 2179-2183, 2021 | 2 | 2021 |
| imec-ETRO-VUB at W-NUT 2020 Shared Task-3: A Multilabel BERT-based system for predicting COVID-19 events X Yang, G Bekoulis, N Deligiannis W-NUT @ EMNLP 2020, 2020 | 2 | 2020 |
| Neural approaches to sequence labeling for information extraction I Bekoulis Ghent University, 2019 | 1 | 2019 |
| Graph convolutional neural networks with node transition probability-based message passing and DropNode regularization A Munteanu, TD Huu, MD Nguyen, I Bekoulis, N Deligiannis PERGAMON-ELSEVIER SCIENCE LTD, 2021 | | 2021 |
| POLICY BRIEF# 36: COVID-19 information on social media in Europe: a threat or a blessing? M Komorowski, I Picone, TD Huu, N Deligiannis, I Bekoulis SMIT Policy Brief 36, 1-4, 2020 | | 2020 |
