Orfeas Menis-Mastromichalakis
Orcid: 0000-0001-5286-1388
According to our database1,
Orfeas Menis-Mastromichalakis
authored at least 18 papers
between 2020 and 2025.
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Bibliography
2025
Assumed Identities: Quantifying Gender Bias in Machine Translation of Ambiguous Occupational Terms.
CoRR, March, 2025
AILS-NTUA at SemEval-2025 Task 4: Parameter-Efficient Unlearning for Large Language Models using Data Chunking.
CoRR, March, 2025
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025
Don't Erase, Inform! Detecting and Contextualizing Harmful Language in Cultural Heritage Collections.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
2024
Searching for explanations of black-box classifiers in the space of semantic queries.
Semantic Web, 2024
Crowdsourcing as a Pedagogical Tool in Computer Science Higher Education: a Case Study.
Hum. Comput., 2024
GOSt-MT: A Knowledge Graph for Occupation-related Gender Biases in Machine Translation.
CoRR, 2024
CoRR, 2024
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Proceedings of the AAAI 2024 Spring Symposium Series, 2024
2023
CoRR, 2023
Counterfactuals of Counterfactuals: a back-translation-inspired approach to analyse counterfactual editors.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
Computing Rule-Based Explanations of Machine Learning Classifiers using Knowledge Graphs.
CoRR, 2022
Towards Explainable Evaluation of Language Models on the Semantic Similarity of Visual Concepts.
Proceedings of the 29th International Conference on Computational Linguistics, 2022
2021
CrowdHeritage: Crowdsourcing for Improving the Quality of Cultural Heritage Metadata.
Inf., 2021
Proceedings of the Workshop on Data meets Applied Ontologies in Explainable AI (DAO-XAI 2021) part of Bratislava Knowledge September (BAKS 2021), 2021
2020
CrowdHeritage: Improving the quality of Cultural Heritage through crowdsourcing methods.
Proceedings of the 15th International Workshop on Semantic and Social Media Adaptation and Personalization, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020