Publications

2025

  • E. Liscio*, L.C. Siebert*, C.M. Jonker, P.K. Murukannaiah. 2025. Value Preferences Estimation and Disambiguation in Hybrid Participatory Systems. In Journal of Artificial Intelligence Research (JAIR). [paper] [slides]

  • E. Liscio, M. Lorandi, P.K. Murukannaiah. 2025. News is More than a Collection of Facts: Moral Frame Preserving News Summarization. In COLM 2025. [paper] [poster]

  • A. Homayounirad, E. Liscio, T. Wang, C.M. Jonker, L.C. Siebert. 2025. Will Annotators Disagree? Identifying Subjectivity in Value-Laden Arguments. In EMNLP 2025 (Findings). [paper]

  • A.N. Dobrinoiu, A.C. Marcu, A. Homayounirad, L.C. Siebert, E. Liscio. 2025. Taking a SEAT: Predicting Value Interpretations from Sentiment, Emotion, Argument, and Topic Annotations. In VALE @ ECAI 2025. [paper] [slides] [poster]

  • A. Kuber, E. Liscio, R. Zhang, C. Figueroa, P.K. Murukannaiah. 2025. Signs of Struggle: Spotting Cognitive Distortions across Language and Register. In arXiv. [pre-print]

  • P. Blum, E. Liscio, R. Zhang, C. Figueroa, P.K. Murukannaiah. 2025. Reading Between the Signs: Predicting Future Suicidal Ideation from Adolescent Social Media Texts. In arXiv. [pre-print]

2024

  • J. Park*, E. Liscio*, P.K. Murukannaiah. 2024. Morality is Non-Binary: Building a Pluralist Moral Sentence Embedding Space using Contrastive Learning. In EACL 2024 (Findings). [paper] [poster] [slides] [extended abstract]

  • M. van der Meer, N. Falk, P.K. Murukannaiah, E. Liscio. 2024. Annotator-Centric Active Learning for Subjective NLP Tasks. In EMNLP 2024. [paper]

  • R.X. Lera-Leri, E. Liscio, F. Bistaffa, C.M. Jonker, M. Lopez-Sanchez, P.K. Murukannaiah, J.A. Rodriguez-Aguilar, F. Salas-Molina. 2024. Aggregating Value Systems for Decision Support. In Knowledge-Based Systems, 287, 111453. [paper]

  • M. van der Meer, E. Liscio, C.M. Jonker, A. Plaat, P. Vossen, P.K. Murukannaiah. 2024. A Hybrid Intelligence Method for Argument Mining. In Journal of Artificial Intelligence Research (JAIR). [paper]

2023

  • E. Liscio, O. Araque, L. Gatti, I. Constantinescu, C.M. Jonker, K. Kalimeri, P.K. Murukannaiah. 2023. What does a Text Classifier Learn about Morality? An Explainable Method for Cross-Domain Comparison of Moral Rhetoric. In ACL 2023. [paper] [poster] [slides] [extended abstract]

  • E. Liscio, R. Lera-Leri, F. Bistaffa, R.I.J. Dobbe, C.M. Jonker, M. Lopez-Sanchez, J.A. Rodriguez-Aguilar, P.K. Murukannaiah. 2023. Value Inference in Sociotechnical Systems. In AAMAS ‘23 (position paper). [paper] [poster] [slides] [extended abstract]

2022

  • E. Liscio, A.E. Dondera, A. Geadau, C.M. Jonker, P.K. Murukannaiah. 2022. Cross-Domain Classification of Moral Values. In NAACL 2022 (Findings). [Reproducibility Badge (top 3%)] [paper] [poster] [slide] [video]

  • E. Liscio, M. van der Meer, L.C. Siebert, C.M. Jonker, P.K. Murukannaiah. 2022. What Values should an Agent Align with? An Empirical Comparison of General and Context-Specific Values. In Autonomous Agents and Multi-Agent Systems (JAAMAS). [paper] [poster] [extended abstract] [slide]

  • E. Liscio, C.M. Jonker, P.K. Murukannaiah. 2022. Identifying Context-Specific Values via Hybrid Intelligence. In HHAI2022 (poster track). [Best poster award] [paper] [poster]

  • M. van der Meer, E. Liscio, C.M. Jonker, A. Plaat, P. Vossen, P.K. Murukannaiah. 2022. HyEnA: A Hybrid Method for Extracting Arguments from Opinions. In HHAI2022. [Best paper award] [paper]

  • L.C. Siebert, E. Liscio, P.K. Murukannaiah, L. Kaptein, S. Spruit, J. van den Hoven, C.M. Jonker. 2022. Estimating Value Preferences in a Hybrid Participatory System. In HHAI2022. [Best paper award finalist] [paper]

2021

  • E. Liscio, M. van der Meer, L.C. Siebert, C.M. Jonker, N. Mouter, P.K. Murukannaiah. 2021. Axies: Identifying and Evaluating Context-Specific Values. In AAMAS 2021. [paper] [poster] [slide] [extended abstract] [video]

  • E. Liscio, M. van der Meer, C.M. Jonker, P.K. Murukannaiah. 2021. A Collaborative Platform for Identifying Context-Specific Values. In AAMAS 2021 (demo track). [paper] [video]

Acknowledgments

Proud to be acknowledged for my help with the data analysis in a Computational Biology paper!

  • Barbara Scalvini, Vahid Sheikhhassani and Alireza Mashaghi. 2021. Topological principles of protein folding. In Phys. Chem. Chem. Phys., 2021, 23, 21316-21328. [paper]