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2020 – today
- 2023
[j8]Giannis Bekoulis, Christina Papagiannopoulou, Nikos Deligiannis:
A Review on Fact Extraction and Verification. ACM Comput. Surv. 55(2): 12:1-12:35 (2023)- [j7]Xiangyu Yang
, Giannis Bekoulis, Nikos Deligiannis:
Traffic event detection as a slot filling problem. Eng. Appl. Artif. Intell. 123(Part A): 106202 (2023) - 2022
- [j6]Lusine Abrahamyan, Yiming Chen, Giannis Bekoulis, Nikos Deligiannis:
Learned Gradient Compression for Distributed Deep Learning. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7330-7344 (2022) - 2021
- [j5]Tien Huu Do, Marc Berneman, Jasabanta Patro, Giannis Bekoulis, Nikos Deligiannis:
Context-Aware Deep Markov Random Fields for Fake News Detection. IEEE Access 9: 130042-130054 (2021) - [j4]Klim Zaporojets, Giannis Bekoulis, Johannes Deleu, Thomas Demeester, Chris Develder:
Solving arithmetic word problems by scoring equations with recursive neural networks. Expert Syst. Appl. 174: 114704 (2021) - [j3]Tien Huu Do, Duc Minh Nguyen, Giannis Bekoulis, Adrian Munteanu, Nikos Deligiannis:
Graph convolutional neural networks with node transition probability-based message passing and DropNode regularization. Expert Syst. Appl. 174: 114711 (2021) - [c8]Lusine Abrahamyan, Yiming Chen, Giannis Bekoulis, Nikos Deligiannis:
Autoencoder-Based Gradient Compression for Distributed Training. EUSIPCO 2021: 2179-2183 - [i10]Lusine Abrahamyan, Yiming Chen, Giannis Bekoulis, Nikos Deligiannis:
Learned Gradient Compression for Distributed Deep Learning. CoRR abs/2103.08870 (2021) - [i9]Xiangyu Yang, Giannis Bekoulis, Nikos Deligiannis:
Traffic Event Detection as a Slot Filling Problem. CoRR abs/2109.06035 (2021) - 2020
- [c7]Xiangyu Yang, Giannis Bekoulis, Nikos Deligiannis:
imec-ETRO-VUB at W-NUT 2020 Shared Task-3: A multilabel BERT-based system for predicting COVID-19 events. W-NUT@EMNLP 2020: 505-513 - [c6]Farhad Nooralahzadeh, Giannis Bekoulis, Johannes Bjerva, Isabelle Augenstein:
Zero-Shot Cross-Lingual Transfer with Meta Learning. EMNLP (1) 2020: 4547-4562 - [i8]Farhad Nooralahzadeh, Giannis Bekoulis, Johannes Bjerva, Isabelle Augenstein:
Zero-Shot Cross-Lingual Transfer with Meta Learning. CoRR abs/2003.02739 (2020) - [i7]Tien Huu Do, Duc Minh Nguyen, Giannis Bekoulis, Adrian Munteanu, Nikos Deligiannis:
Graph Convolutional Neural Networks with Node Transition Probability-based Message Passing and DropNode Regularization. CoRR abs/2008.12578 (2020) - [i6]Klim Zaporojets, Giannis Bekoulis, Johannes Deleu, Thomas Demeester, Chris Develder:
Solving Math Word Problems by Scoring Equations with Recursive Neural Networks. CoRR abs/2009.05639 (2020) - [i5]Giannis Bekoulis, Christina Papagiannopoulou, Nikos Deligiannis:
A Review on Fact Extraction and VERification: The FEVER case. CoRR abs/2010.03001 (2020)
2010 – 2019
- 2019
- [c5]Giannis Bekoulis, Johannes Deleu, Thomas Demeester, Chris Develder:
Adversarial Perturbations for Joint Entity and Relation Extraction. BNAIC/BENELEARN 2019 - [c4]Giannis Bekoulis, Johannes Deleu, Thomas Demeester, Chris Develder:
Sub-event detection from twitter streams as a sequence labeling problem. NAACL-HLT (1) 2019: 745-750 - [i4]Giannis Bekoulis, Johannes Deleu, Thomas Demeester, Chris Develder:
Sub-event detection from Twitter streams as a sequence labeling problem. CoRR abs/1903.05396 (2019) - 2018
- [j2]Giannis Bekoulis, Johannes Deleu, Thomas Demeester, Chris Develder:
An attentive neural architecture for joint segmentation and parsing and its application to real estate ads. Expert Syst. Appl. 102: 100-112 (2018) - [j1]Giannis Bekoulis, Johannes Deleu, Thomas Demeester, Chris Develder:
Joint entity recognition and relation extraction as a multi-head selection problem. Expert Syst. Appl. 114: 34-45 (2018) - [c3]Giannis Bekoulis, Johannes Deleu, Thomas Demeester, Chris Develder:
Adversarial training for multi-context joint entity and relation extraction. EMNLP 2018: 2830-2836 - [i3]Giannis Bekoulis, Johannes Deleu, Thomas Demeester, Chris Develder:
Joint entity recognition and relation extraction as a multi-head selection problem. CoRR abs/1804.07847 (2018) - [i2]Giannis Bekoulis, Johannes Deleu, Thomas Demeester, Chris Develder:
Adversarial training for multi-context joint entity and relation extraction. CoRR abs/1808.06876 (2018) - 2017
- [c2]Giannis Bekoulis, Johannes Deleu, Thomas Demeester, Chris Develder:
Reconstructing the house from the ad: Structured prediction on real estate classifieds. EACL (2) 2017: 274-279 - [i1]Giannis Bekoulis, Johannes Deleu, Thomas Demeester, Chris Develder:
An attentive neural architecture for joint segmentation and parsing and its application to real estate ads. CoRR abs/1709.09590 (2017) - 2016
- [c1]Giannis Bekoulis, François Rousseau:
Graph-Based Term Weighting Scheme for Topic Modeling. ICDM Workshops 2016: 1039-1044
Coauthor Index
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last updated on 2024-04-24 23:04 CEST by the dblp team
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