Giannis Bekoulis

According to our database, Giannis Bekoulis authored at least 18 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Traffic event detection as a slot filling problem.

Xiangyu Yang, Giannis Bekoulis, Nikos Deligiannis

Eng. Appl. Artif. Intell., 2023

A Review on Fact Extraction and Verification.

Giannis Bekoulis, Christina Papagiannopoulou, Nikos Deligiannis

ACM Comput. Surv., 2023

2022

Learned Gradient Compression for Distributed Deep Learning.

Lusine Abrahamyan, Yiming Chen, Giannis Bekoulis, Nikos Deligiannis

IEEE Trans. Neural Networks Learn. Syst., 2022

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

Graph convolutional neural networks with node transition probability-based message passing and DropNode regularization.

Tien Huu Do, Duc Minh Nguyen, Giannis Bekoulis, Adrian Munteanu, Nikos Deligiannis

Expert Syst. Appl., 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

Autoencoder-Based Gradient Compression for Distributed Training.

Lusine Abrahamyan, Yiming Chen, Giannis Bekoulis, Nikos Deligiannis

Proceedings of the 29th European Signal Processing Conference, 2021

2020

A Review on Fact Extraction and VERification: The FEVER case.

Giannis Bekoulis, Christina Papagiannopoulou, Nikos Deligiannis

CoRR, 2020

Solving Math Word Problems by Scoring Equations with Recursive Neural Networks.

Klim Zaporojets, Giannis Bekoulis, Johannes Deleu, Thomas Demeester, Chris Develder

CoRR, 2020

Zero-Shot Cross-Lingual Transfer with Meta Learning.

Farhad Nooralahzadeh, Giannis Bekoulis, Johannes Bjerva, Isabelle Augenstein

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

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

Proceedings of the Sixth Workshop on Noisy User-generated Text, 2020

2019

Sub-event detection from twitter streams as a sequence labeling problem.

Giannis Bekoulis, Johannes Deleu, Thomas Demeester, Chris Develder

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Adversarial Perturbations for Joint Entity and Relation Extraction.

Giannis Bekoulis, Johannes Deleu, Thomas Demeester, Chris Develder

Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

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

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

Adversarial training for multi-context joint entity and relation extraction.

Giannis Bekoulis, Johannes Deleu, Thomas Demeester, Chris Develder

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017

Reconstructing the house from the ad: Structured prediction on real estate classifieds.

Giannis Bekoulis, Johannes Deleu, Thomas Demeester, Chris Develder

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

2016

Graph-Based Term Weighting Scheme for Topic Modeling.

Giannis Bekoulis, François Rousseau

Proceedings of the IEEE International Conference on Data Mining Workshops, 2016