Publications

You can also find my articles on my Google Scholar profile.

  1. MindGames: Targeting Theory of Mind in Large Language Models with Dynamic Epistemic Modal Logic
    Damien Sileo, Antoine Lernould
    Proceeding of EMNLP2023 Findings
  2. Probing neural language models for understanding of words of estimative probability
    Damien Sileo, Marie-Francine Moens
    Proceeding of *SEM2023
  3. Zero-Shot Recommendations as Language Modeling
    Damien Sileo, Wout Vossen, Robbe Raymaekers
    Proceeding of ECIR2022
  4. Analysis and Prediction of NLP Models Via Task Embeddings
    Damien Sileo, Marie-Francine Moens
    Proceedings of LREC2022
  5. A Pragmatics-Centered Evaluation Framework for Natural Language Understanding
    Damien Sileo, Tim Van De Cruys, Camille Pradel, Philippe Muller
    Proceedings of LREC2022
  6. When Do Discourse Markers Affect Computational Sentence Understanding?
    Ruiqi Li, Liesbeth Allein, Damien Sileo, Marie-Francine Moens
    Trends in Linguistics Studies and Monographs 2022
  7. NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation, section B.33
    Kaustubh Dhole, Damien Sileo
    NEJLT2023
  8. Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
    Sohl-Dickstein, Damien Sileo et al. (large collaboration)
    JMLR2023
  9. Unsupervised pre-training of neural networks on satellite imagery improves food insecurity forecasting
    Damien Sileo, Wout Opsommer, Ruben Van Laer, Ruben Cartuyvels
    3rd NOAA workshop on Leveraging AI in Environmental Sciences
  10. Visual Grounding Strategies for Text-Only Natural Language Processing
    Damien Sileo
    The Third Workshop Beyond Vision and LANguage: inTEgrating Real-world kNowledge
  11. DIRT: Distributed Internal Regression Transformer
    Nathan Cornille, Damien Sileo, Marie-Francine Moens
    From Neuroscience to Artificially Intelligent Systems 2020
  12. DiscSense: Automated Semantic Analysis of Discourse Markers
    Damien Sileo, Tim Van De Cruys, Camille Pradel, Philippe Muller
    Proceedings of LREC2020
  13. Question Answering When Knowledge Bases are Incomplete
    Camille Pradel, Damien Sileo, Álvaro Rodrigo, Anselmo Peñas, Eneko Agirre
    Proceedings of CLEF2020
  14. Mining Discours Markers For Unsupervised Sentence Representation Learning
    Damien Sileo, Tim Van De Cruys, Camille Pradel, Philippe Muller
    Proceedings of NAACL2019
  15. Composition of Sentence Embeddings: Lessons from Statistical Relational Learning
    Damien Sileo, Tim Van De Cruys, Camille Pradel, Philippe Muller
    Proceedings of *SEM2019
  16. Understanding BERT Transformer: Attention isn’t all you need
    Damien Sileo
    Towards Data Science, 2019
  17. Matching Words and Knowledge Graph Entities with Meta-Embeddings
    Damien Sileo, Camille Pradel, Anselmo Peñas, Guillermo Eschegoyen, Mark Cieliebak, Ander Barena, Eneko Aguirre
    Proceedings of CAP2019
  18. Analyse en rôles sémantiques pour le résumé automatique
    Elyase Lassouli, Yasmine Mesbahi, Camille Pradel, Damien Sileo
    Proceedings of EGC2018
  19. Changement stylistique de phrases par apprentissage faiblement supervisé
    Damien Sileo, Tim Van De Cruys, Camille Pradel, Philippe Muller
    Proceedings of TALN2017
  20. Apprentissage relationnel pour la recommandation et la prédiction de données manquantes
    Damien Sileo, Vincent Guigue
    Proceedings of CAP2017