Hayastan Avetisyan
Research Area Research Infrastructure and Methods
Researcher
- +49 511 450670-437
Publications
List of publications
8 Übereinstimmungen gefunden /
Towards automatic bias analysis in multimedia journalism.Hinrichs, R., Steffen, H., Avetisyan, H., Broneske, D., & Ostermann, J. (2025).Towards automatic bias analysis in multimedia journalism. Discover Artificial Intelligence, 5(1), 1-28. https://doi.org/10.1007/s44163-025-00362-1 |
VerbCraft: Morphologically-aware Armenian text generation using LLMs in low-resource settings.Avetisyan, H., & Broneske, D. (2025).VerbCraft: Morphologically-aware Armenian text generation using LLMs in low-resource settings. In ¦. A. Holdt, N. Ilinykh, B. Scalvini, M. Bruton, I. N. Debess, & C. M. Tudor (Hrsg.), Proceedings of the Third Workshop on Resources and Representations for Under-Resourced Languages and Domains (RESOURCEFUL-2025) (S. 111-119). Tallinn: University of Tartu Library, Estonia. |
Framing and BERTology: A data-centric approach to integration of linguistic features into transformer-based pre-trained language models.Avetisyan, H., Safikhani, P., & Broneske, D. (2024).Framing and BERTology: A data-centric approach to integration of linguistic features into transformer-based pre-trained language models. In Arai, K. (Hrsg.), Intelligent Systems and Applications (S. 81-90). Cham: Springer. https://doi.org/10.1007/978-3-031-47718-8 |
Large language models and low-resource languages: An examination of Armenian NLP.Avetisyan, H., & Broneske, D. (2023).Large language models and low-resource languages: An examination of Armenian NLP. Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023 (Findings), 2023, 199-210. |
Decoding the encoded - Linguistic secrets of language models: A systematic literature review.Avetisyan, H., & Broneske, D. (2023).Decoding the encoded - Linguistic secrets of language models: A systematic literature review. In D. C. Wyld & D. Nagamalai (Hrsg.), Computer Science & Information Technology (CS & IT) (S. 67-88). Chennai, Tamil Nadu, India: AIRCC Publishing Corporation. |
Automated occupation coding with hierarchical features: A data-centric approach to classification with pre-trained language models.Safikhani, P., Avetisyan, H., Föste-Eggers, D., & Broneske, D. (2023).Automated occupation coding with hierarchical features: A data-centric approach to classification with pre-trained language models. Discover Artificial Intelligence 3, 2023(6). https://doi.org/10.1007/s44163-023-00050-y |
Identifying and understanding game-framing in online news: BERT and fine-grained linguistic features.Avetisyan, H., & Broneske, D. (2021).Identifying and understanding game-framing in online news: BERT and fine-grained linguistic features. In Association for Computational Linguistics (Hrsg.), Proceedings of The Fourth International Conference on Natural Language and Speech Processing (ICNLSP 2021) (S. 95-107). Trento, Italy: Association for Computational Linguistics. |
Presentations
List of presentations & conferences
14 Übereinstimmungen gefunden /
VerbCraft: Morphologically-aware Armenian text generation using LLMs in low-resource settings.Avetisyan, H. (2025, März).VerbCraft: Morphologically-aware Armenian text generation using LLMs in low-resource settings. Poster auf der Konferenz The Joint 25th Nordic Conference on Computational Linguistics and 11th Baltic Conference on Human Language Technologies (NoDaLiDa/Baltic-HLT 2025), Tallinn, Estonia. |
NLP beyond boundaries: Integrating high-resource foundations with low-resource innovations.Avetisyan, H. (2025, Februar).NLP beyond boundaries: Integrating high-resource foundations with low-resource innovations. Vortrag auf dem Kolloquium Doktorandentag at Otto von Guericke University Magdeburg, Faculty of Computer Science, Magdeburg, Germany. |
Trans-Tokenization and cross-lingual vocabulary transfers: Language adaptation of LLMs for low-resource NLP.Avetisyan, H. (2024, Oktober).Trans-Tokenization and cross-lingual vocabulary transfers: Language adaptation of LLMs for low-resource NLP. Poster auf der Konferenz COLM 2024, University of Pennsylvania Philadelphia, PA, University of Pennsylvania, Philadelphia, PA, USA. |
NLP beyond boundaries: Integrating high-resource foundations with low-resource innovations.Avetisyan, H. (2024, April).NLP beyond boundaries: Integrating high-resource foundations with low-resource innovations. Poster auf der Tagung DZHW-Forschungstag 2024, Deutsches Zentrum für Hochschul- und Wissenschaftsforschung (DZHW), Hannover. |
Inferring respondents’ emotional states from text and voice answers to open questions in a smartphone survey.Claaßen, J., Höhne, J. K., Kern, C., & Avetisyan, H. (2024, März).Inferring respondents’ emotional states from text and voice answers to open questions in a smartphone survey. Vortrag im Rahmen des WEB DATA OPP Workshops, Barcelona, Spain. |
Inferring respondents’ emotional states from transcribed voice answers to open questions in a smartphone survey.Claaßen, J., Höhne, J. K., Kern, C., & Avetisyan, H. (2024, März).Inferring respondents’ emotional states from transcribed voice answers to open questions in a smartphone survey. Vortrag im Rahmen des Mobile Apps and Sensors in Surveys (MASS) Workshop, Washington, D.C., USA. |
Laughing out loud – Exploring AI-generated and human-generated humor.Avetisyan, H., Safikhani, P., & Broneske, D. (2023, Dezember).Laughing out loud – Exploring AI-generated and human-generated humor. Vortrag auf der Konferenz International Conference on NLP & Artificial Intelligence Techniques (NLAI 2023), Computer Science & Information Technology (CS & IT), Sydney, Australia. |
Large language models and low-resource languages: An examination of Armenian NLP.Avetisyan, H. (2023, November).Large language models and low-resource languages: An examination of Armenian NLP. Vortrag auf der Konferenz The 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (IJCNLP-AACL 2023), Bali, Indonesien. |
Application of language models in research and their explainability.Avetisyan, H. (2023, Oktober).Application of language models in research and their explainability. Poster auf der Konferenz The Future of Higher Education and Science – A Turn of the Times?, Deutsches Zentrum für Hochschul- und Wissenschaftsforschung (DZHW), Leibniz Forschungszentrum Wissenschaft und Gesellschaft (LCSS), Hannover, Deutschland. |
Decoding the encoded – Linguistic secrets of language models: A systematic literature review.Avetisyan, H. (2023, September).Decoding the encoded – Linguistic secrets of language models: A systematic literature review. Vortrag auf der Konferenz 4th International Conference on Machine Learning Techniques and NLP (MLNLP 2023), Copenhagen, Denmark. |
Framing and BERTology: A data-centric approach to integration of linguistic features into transformer-based pre-trained language models.Avetisyan, H., Safikhani, P., & Broneske, D. (2023, September).Framing and BERTology: A data-centric approach to integration of linguistic features into transformer-based pre-trained language models. Vortrag auf der Konferenz Intelligent Systems Conference (IntelliSys 2023), Amsterdam, The Netherlands. |
Automatisierte Codierung von Berufsangaben mittels BERT.Föste-Eggers, D., Avetisyan, H., Safikhani, P., & Broneske, D. (2021, Dezember).Automatisierte Codierung von Berufsangaben mittels BERT. Vortrag auf der Tagung Methodische Herausforderungen in der empirischen Bildungsforschung, Thementagung der digiGEBF21, DIPF | Leibniz-Institut für Bildungsforschung und Bildungsinformation, Frankfurt am Main. |
Identifying and understanding game-framing in online news: BERT and fine-grained linguistic features.Avetisyan, H., & Broneske, D. (2021, November).Identifying and understanding game-framing in online news: BERT and fine-grained linguistic features. Vortrag auf der Konferenz The International Conference on Natural Language and Speech Processing (ICNLSP 2021), University of Trento, Italien.
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