Graph-Based Term Weighting Scheme for Topic Modeling. - Giannis Bekoulis; François Rousseau 001 (ICDM Workshops, 2016)

Reconstructing the house from the ad: Structured prediction on real estate classifieds. - Giannis Bekoulis; Johannes Deleu; Thomas Demeester; Chris Develder (EACL (2), 2017)

Adversarial training for multi-context joint entity and relation extraction. - Giannis Bekoulis; Johannes Deleu; Thomas Demeester; Chris Develder (EMNLP, 2018)

An attentive neural architecture for joint segmentation and parsing and its application to real estate ads. - Giannis Bekoulis; Johannes Deleu; Thomas Demeester; Chris Develder (Expert Syst. Appl., 2018)

Joint entity recognition and relation extraction as a multi-head selection problem. - Giannis Bekoulis; Johannes Deleu; Thomas Demeester; Chris Develder (Expert Syst. Appl., 2018)

Adversarial Perturbations for Joint Entity and Relation Extraction. - Giannis Bekoulis; Johannes Deleu; Thomas Demeester; Chris Develder (BNAIC/BENELEARN, 2019)

Sub-event detection from twitter streams as a sequence labeling problem. - Giannis Bekoulis; Johannes Deleu; Thomas Demeester; Chris Develder (NAACL-HLT (1), 2019)

imec-ETRO-VUB at W-NUT 2020 Shared Task-3: A multilabel BERT-based system for predicting COVID-19 events. - Xiangyu Yang; Giannis Bekoulis; Nikos Deligiannis (W-NUT@EMNLP, 2020)

Zero-Shot Cross-Lingual Transfer with Meta Learning. - Farhad Nooralahzadeh; Giannis Bekoulis; Johannes Bjerva; Isabelle Augenstein (EMNLP (1), 2020)

Solving Math Word Problems by Scoring Equations with Recursive Neural Networks. - Klim Zaporojets; Giannis Bekoulis; Johannes Deleu; Thomas Demeester; Chris Develder (CoRR, 2020)

A Review on Fact Extraction and VERification: The FEVER case. - Giannis Bekoulis; Christina Papagiannopoulou; Nikos Deligiannis (CoRR, 2020)

Autoencoder-Based Gradient Compression for Distributed Training. - Lusine Abrahamyan; Yiming Chen; Giannis Bekoulis; Nikos Deligiannis (EUSIPCO, 2021)

Context-Aware Deep Markov Random Fields for Fake News Detection. - Tien Huu Do; Marc Berneman; Jasabanta Patro; Giannis Bekoulis; Nikos Deligiannis (IEEE Access, 2021)

Graph convolutional neural networks with node transition probability-based message passing and DropNode regularization. - Tien Huu Do; Duc Minh Nguyen; Giannis Bekoulis; Adrian Munteanu 001; Nikos Deligiannis (Expert Syst. Appl., 2021)

Solving arithmetic word problems by scoring equations with recursive neural networks. - Klim Zaporojets; Giannis Bekoulis; Johannes Deleu; Thomas Demeester; Chris Develder (Expert Syst. Appl., 2021)

Learned Gradient Compression for Distributed Deep Learning. - Lusine Abrahamyan; Yiming Chen; Giannis Bekoulis; Nikos Deligiannis (IEEE Trans. Neural Networks Learn. Syst., 2022)

A Review on Fact Extraction and Verification. - Giannis Bekoulis; Christina Papagiannopoulou; Nikos Deligiannis (ACM Comput. Surv., 2023)

Traffic event detection as a slot filling problem. - Xiangyu Yang; Giannis Bekoulis; Nikos Deligiannis (Eng. Appl. Artif. Intell., 2023)