Giannis Bekoulis

Orcid: 0000-0003-3377-2675

According to our database1, Giannis Bekoulis authored at least 18 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
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PhD thesis 
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Online presence:

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Bibliography

2023
Traffic event detection as a slot filling problem.
Eng. Appl. Artif. Intell., 2023

A Review on Fact Extraction and Verification.
ACM Comput. Surv., 2023

2022
Learned Gradient Compression for Distributed Deep Learning.
IEEE Trans. Neural Networks Learn. Syst., 2022

2021
Solving arithmetic word problems by scoring equations with recursive neural networks.
Expert Syst. Appl., 2021

Graph convolutional neural networks with node transition probability-based message passing and DropNode regularization.
Expert Syst. Appl., 2021

Context-Aware Deep Markov Random Fields for Fake News Detection.
IEEE Access, 2021

Autoencoder-Based Gradient Compression for Distributed Training.
Proceedings of the 29th European Signal Processing Conference, 2021

2020
A Review on Fact Extraction and VERification: The FEVER case.
CoRR, 2020

Solving Math Word Problems by Scoring Equations with Recursive Neural Networks.
CoRR, 2020

Zero-Shot Cross-Lingual Transfer with Meta Learning.
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.
Proceedings of the Sixth Workshop on Noisy User-generated Text, 2020

2019
Sub-event detection from twitter streams as a sequence labeling problem.
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.
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.
Expert Syst. Appl., 2018

An attentive neural architecture for joint segmentation and parsing and its application to real estate ads.
Expert Syst. Appl., 2018

Adversarial training for multi-context joint entity and relation extraction.
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.
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.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016


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