Publicaties
2022
Wetenschappelijke publicaties
van Esch, F. A. W. J. (Author), Deoskar, T. (Author), Snellens, J. (Author), Van der Burg, S. (Author), Tan, S. (Author), & Tjong Kim Sang, E. (Author). (2022).
Machine Learning as a tool for political speech analysis. Web publication/site, Netherlands E-science Center.
https://blog.esciencecenter.nl/machine-learning-as-a-tool-for-political-speech-analysis-c8abf5cd8c0d van Esch, F. A. W. J., Van der Burg, S., Deoskar, T., J.F.A., S., Tjong Kim Sang, E., & Tan, S. (2022). Automation of Cognitive Mapping Text annotation using Machine-Learning. Netherlands eScience Center.
Qi, Q., Hessen, D., Deoskar, T., & van der Heijden, P. G. M. (2022).
A comparison of latent semantic analysis and correspondence analysis of document-term matrices. (pp. 1-35). arXiv.
https://doi.org/10.48550/arXiv.2108.06197 2021
Wetenschappelijke publicaties
Deoskar, T., De Boer, M., & Slewe, C. (2021). Generating common-sense scene graphs using a knowledge base BERT model. Abstract from 33rd Benelux Conference on Artificial Intelligence and the 30th Belgian Dutch Conference on Machine Learning, Luxembourg.
Riccardo Bassani, Anders S{\o}gaard, & Bassani, R. (2021).
Clustering Monolingual Vocabularies to Improve Cross-Lingual Generalization. In
Proceedings of the Conference on Empirical Methods in Natural Language Processing: 1st Workshop on Multilingual Representation Learning (pp. 32-40). Association for Computational Linguistics (ACL).
https://doi.org/10.18653/v1/2021.mrl-1.32020
Wetenschappelijke publicaties
Vakpublicaties
Janssen, C. P., Nouwen, R. W. F., Overvliet, K. E., Adriaans, F. W., Stuit, S. M., Deoskar, T., & Harvey, B. M. (2020).
Multidisciplinary and interdisciplinary teaching in the Utrecht AI program: Why and how? IEEE Pervasive Computing,
19(2), 63-68.
https://doi.org/10.1109/MPRV.2020.2977741 2019
Wetenschappelijke publicaties
Kogkalidis, K., Moortgat, M. J., & Deoskar, T. (2019).
Constructive Type-Logical Supertagging with Self-Attention Networks. 113-123. Paper presented at Representation Learning For NLP, Florence, Italy.
https://arxiv.org/abs/1905.13418 Müter, L., Deoskar, T., Matthijsen, M., Brinkkemper, S., & Dalpiaz, F. (2019). Refinement of User Stories into Backlog Items: Linguistic Structure and Action Verbs. In Requirements Engineering: Foundation for Software Quality: 25th International Working Conference, REFSQ 2019, Essen, Germany, March 18–21, 2019, Proceedings (Lecture Notes in Computer Science). Springer International Publishing.