Only the publications authored by at least one ESR are listed below in order to show the impact of the training provided to our young researchers.
Aerts, D., Beltran, L., Geriente, S., de Bianchi, M. S., Sozzo, S., Van Sprundel, R., & Veloz, T. (2018). Quantum Theory Methods as a Possible Alternative for the Double-blind Gold Standard of Evidence-based Medicine: Outlining a New Research Program. In Foundations of Science.
Aerts, D., Arguelles, J. A., Beltran, L., Beltran, L., de Bianchi, M. S., Sozzo, S., & Veloz, T. (2017). Context and Interference Effects in the Combinations of Natural Concepts. Modeling and Using Context. Paris: Springer. http://doi.org/10.1007/978-3-319-57837-8_54
Aerts, D., Arguelles, J. A., Beltran, L., Beltran, L., de Bianchi, M. S., Sozzo, S., & Veloz, T. (2017). Testing Quantum Models of Conjunction Fallacy on the World Wide Web. International Journal Of Theoretical Physics, 56(12), 12. http://doi.org/10.1007/s10773-017-3288-8
Aerts, D., Arguelles, J. A., Beltran, L., Geriente, S., de Bianchi, M. S., Sozzo, S., & Veloz, T. (2019). Quantum entanglement in physical and cognitive systems: A conceptual analysis and a general representation. The European Physical Journal Plus Volume, 134. http://doi.org/https://doi.org/10.1140/epjp/i2019-12987-0
Aerts, D., & Beltran, L. (2019). Quantum Structure in Cognition: Human Language as a Boson Gas of Entangled Words. In Foundations of Science.
Lima, L. C., Wright, D., Augenstein, I., & Maistro, M. (2020). Denmark's Participation in the Search Engine TREC COVID-19 Challenge: Lessons Learned about Searching for Precise Biomedical Scientific Information on COVID-19. In Text REtrieval Conference (TREC) 2020. Retrieved from https://arxiv.org/abs/2011.12684
Augenstein, I., Lioma, C., Wang, D., Lima, L. C., Hansen, C., Hansen, C., & Simonsen, J. G. (2019). MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). http://doi.org/10.18653/v1/D19-1475
Aerts, D., Beltran, L., Geriente, S., & Sozzo, S. (2021). Quantum-Theoretic Modeling in Computer Science: A Complex Hilbert Space Model for Entangled Concepts in Corpuses of Documents. International Journal Of Theoretical Physics, 60(2), 710-726. http://doi.org/https://doi.org/10.1007/s10773-019-04155-y
Gkoumas, D., Uprety, S., & Song, D. (2018). Investigating non-classical correlations between decision fused multi-modal documents. Quantum Interaction 2018. Nice, France.
Jaiswal, A. K., Holdack, G., Frommholz, I., & Liu, H. (2018). Quantum-like Generalization of Complex Word Embedding: a lightweight approach for textual classification. In Proceedings of the Conference "Lernen, Wissen, Daten, Analysen" (LWDA). Mannheim, Germany: CEUR-WS.
Li, Q., Uprety, S., Wang, B., & Song, D. (2018). Quantum-inspired Complex Word Embedding. In ACL Third Wordshop on Representation Learning for NLP.
Jaiswal, A. K., Liu, H., & Frommholz, I. (2019). Effects of Foraging in Personalized Content-based Image Recommendation. In SIGIR - The 2nd International Workshop on ExplainAble Recommendation and Search (EARS 2019).
Wang, D., Li, Q., Lima, L. C., Simonsen, J. G., & Lioma, C. (2019). Contextual Compositionality Detection with External Knowledge Bases and Word Embeddings. In Companion Proceedings of the 2019 World Wide Web Conference (WWW ’19 Companion). San Francisco, CA, USA: ACM, New York, NY, USA.
Tiwari, P., & Melucci, M. (2019). Towards a Quantum-Inspired Binary Classifier. Ieee Access, 7, 19. http://doi.org/10.1109/ACCESS.2019.2904624
Li, Q., Melucci, M., & Tiwari, P. (2018). Quantum Language Model-based Query Expansion. In The 4th ACM SIGIR Informational Conference on the Theory of Information Retrieval, ICTIR 2018. Tianjin, China.
Tiwari, P., & Melucci, M. (2018). Multi-class Classification Model Inspired by Quantum Detection Theory. In Future Directions in Information Access (FDIA 2018). Tianjin, China.
Di Buccio, E., Li, Q., Melucci, M., & Tiwari, P. (2018). Binary Classification Model Inspired from Quantum Detection Theory. In The 4th ACM SIGIR Informational Conference on the Theory of Information Retrieval, ICTIR 2018. Tianjin, China. http://doi.org/10.1145/3234944.3234979
Tiwari, P., & Melucci, M. (2018). Towards a Quantum-Inspired Framework for Binary Classification. In Proceedings of CIKM. Turin, Italy: ACM Press.
Wang, D., Simonsen, J. G., Larsen, B., & Lioma, C. (2018). The Copenhagen Team Participation in the Factuality Task of the Competition of Automatic Identification and Verification of Claims in Political Debates of the CLEF-2018 Fact Checking Lab. In CLEF Fact Checking Lab.
Uprety, S., Su, Y., Song, D., & Li, J. (2018). Modeling Multidimensional User Relevance in IR using Vector Spaces. SIGIR '18 The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval.
Uprety, S., & Song, D. (2018). Investigating Order Effects in Multidimensional Relevance Judgment using Query Logs. The 4th ACM SIGIR Informational Conference on the Theory of Information Retrieval, ICTIR 2018. Tianjin, China.
Uprety, S., & Song, D. (2018). Reconciling Irrational Human Behavior with AI based Decision Making: A Quantum Probabilistic Approach. Proceedings of the 1st IJCAI-ECAI Workshop on AI and Computational Psychology: Theories, Algorithms and Applications (CompPsy).
Uprety, S., Gkoumas, D., & Song, D. (2018). Investigating Bell Inequalities in Multidimensional Relevance Judgment in Information Retrieval. Quantum Interaction.
Beltran, L., & Geriente, S. (2018). Quantum Entanglement in Corpuses of Documents. In submitted to Foundations of Science.
Aerts, D., Arguelles, J., Beltran, L., Distrito, I., de Bianchi, M. S., Sozzo, S., & Veloz, T. (2018). Towards a Quantum World Wide Web. In Theoretical Computer Science. http://doi.org/doi 10.1016/j.tcs.2018.03.019