Savitha Sam Abraham
Title: Postdoctoral Researcher School/office: School of Science and TechnologyEmail: savitha.sam-abraham@oru.se
Phone: +46 19 303927
Room: T2252b
Research subject
Research environments
About Savitha Sam Abraham
I am a WASP postdoc researcher working with Prof. Luc De Raedt at the Center for Applied Autonomous Sensor Systems (AASS). My research interests are Natural Language Processing, Knowledge Representation and Reasoning and Fairness in Machine Learning. I am currently exploring neural-symbolic AI and its application to solving natural language tasks involving reasoning.
Research teams
Publications
Articles in journals |
Conference papers |
Articles in journals
- Anoop, K. , Deepak, P. , Sam Abraham, S. , Lajish, V. L. & Gangan, M. P. (2022). Readers' affect: predicting and understanding readers' emotions with deep learning. Journal of Big Data, 9 (1).
- Deepak, P. & Sam Abraham, S. (2021). FairLOF: Fairness in Outlier Detection. Data Science and Engineering, 6 (4), 485-499.
Conference papers
- Dahlgren Lindström, A. & Sam Abraham, S. (2022). CLEVR-Math: A Dataset for Compositional Language, Visual and Mathematical Reasoning. In: Artur d'Avila Garcez; Ernesto Jiménez-Ruiz, Neural-Symbolic Learning and Reasoning 2022 Proceedings of the 16th International Workshop on Neural-Symbolic Learning and Reasoning (NeSy 2022) as part of the 2nd International Joint Conference on Learning & Reasoning (IJCLR 2022) Cumberland Lodge, Windsor Great Park, United Kingdom, September 28-30, 2022. Paper presented at International Joint Conference on Learning and Reasoning, 16th International Workshop on Neural-Symbolic Learning and Reasoning (NeSy 2022), Windsor, UK, September 28-30, 2022 (pp. 155-170). Technical University of Aachen.
- Sam Abraham, S. & Alirezaie, M. (2022). Compositional Generalization and Neuro-Symbolic Architectures. In: AAAI - Combining Learning and Reasoning Programming Languages, Formalisms, and Representations, CLeaR 2022. Paper presented at 36th AAAI conference on artificial intelligence (AAAI-2022), Vancouver, BC, Canada, February 22 - March 1, 2022.