Giannis Bekoulis

Giannis Bekoulis

Postdoctoral researcher

Research Interests

  • Machine Learning
  • NLP
  • Deep learning
  • Publications

    Autoencoder-Based Gradient Compression for Distributed Training.
    L. Abrahamyan, Y. Chen, G. Bekoulis, and N. Deligiannis.
    European Signal Processing Conference, EUSIPCO 2021.

    Learned Gradient Compression for Distributed Deep Learning.
    L. Abrahamyan, Y. Chen, G. Bekoulis, and N. Deligiannis.
    IEEE Transactions on Neural Networks and Learning Systems, TNNLS.

    Understanding the Impact of Evidence-Aware Sentence Selection for Fact Checking. code
    G. Bekoulis, C. Papagiannopoulou, and N. Deligiannis.
    4rd NLP4IF Workshop on NLP for Internet Freedom, NLP4IF 2021.

    A Review on Fact Extraction and Verification.
    G. Bekoulis, C. Papagiannopoulou, and N. Deligiannis.
    preprint (submitted November 2020).

    Graph Convolutional Neural Networks with Node Transition Probability-based Message Passing and DropNode Regularization.
    T. H. Do, D. M. Nguyen, G. Bekoulis, A. Munteanu, and N. Deligiannis.
    Expert Systems with Applications, Volume 174, 2021.

    Solving Arithmetic Word Problems by Scoring Equations with Recursive Neural Networks. code
    K. Zaporojets, G. Bekoulis, J. Deleu, T. Demeester and C. Develder.
    Expert Systems with Applications, Volume 174, 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, and N. Deligiannis.
    6th Annual Workshop on Noisy User-generated Text, W-NUT 2020.

    Zero-Shot Cross-Lingual Transfer with Meta Learning. slides code
    F. Nooralahzadeh, G. Bekoulis, J. Bjerva, and I. Augenstein.
    2020 Conference on Empirical Methods in Natural Language Processing, EMNLP 2020.

    Adversarial perturbations for joint entity and relation extraction.
    G. Bekoulis, J. Deleu, T. Demeester and C. Develder.
    28th Belgian Dutch Conference on Machine Learning, Benelearn 2019.

    Predicting suicide risk from online postings in Reddit: The UGent-IDLab submission to the CLPysch 2019 Shared Task A.
    S.K. Bitew, G. Bekoulis, J. Deleu, L. Sterckx, K. Zaporojets, T. Demeester and C. Develder.
    6th Annual Workshop on Computational Linguistics and Clinical Psychology at NAACL-HLT 2019, CLPsych 2019.

    Sub-event detection from twitter streams as a sequence labeling problem. code poster
    G. Bekoulis, J. Deleu, T. Demeester and C. Develder.
    2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics, NAACL 2019.

    Adversarial training for multi-context joint entity and relation extraction. code slides
    G. Bekoulis, J. Deleu, T. Demeester and C. Develder.
    2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018.

    Joint entity recognition and relation extraction as a multi-head selection problem. code
    G. Bekoulis, J. Deleu, T. Demeester and C. Develder.
    Expert Systems with Applications, Volume 114, 2018.

    An attentive neural architecture for joint segmentation and parsing and its application to real estate ads.
    G. Bekoulis, J. Deleu, T. Demeester and C. Develder.
    Expert Systems with Applications, Volume 102, 2018.

    Reconstructing the house from the ad: Structured prediction on real estate classifieds. poster code
    G. Bekoulis, J. Deleu, T. Demeester and C. Develder.
    15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017.

    Graph-based Term Weighting Scheme for Topic Modeling. slides code
    G. Bekoulis and F. Rousseau.
    2nd International Workshop on Data Science for Social Media and Risk at ICDM, SoMeRis 2016.

    Experience

    Postdoctoral Researcher @ VUB

    January 2020 - Present

    Fact verification.

    Postdoctoral Researcher @ IDLAB

    November 2019 - December 2019

    Cross-lingual meta-learning for question answering.

    Research intern @ CopeNLU

    March 2019 - May 2019

    Cross-lingual meta-learning for question answering.

    PhD Researcher @ IDLAB

    January 2016 - October 2019

    Extracting structure from text based on the natural language description.

    Researcher @ LIX

    May 2015 - November 2016

    Explored graph-of-words for topic modeling.

    Researcher @ ITI

    February 2013 - September 2014

    Object recognition for augmented reality in Android.

    Education

    Upatras

    2006 - 2011

    Computer Technology and Informatics.