T. (Thiviyan) Thanapalasingam MSc
Faculteit der Natuurwetenschappen, Wiskunde en Informatica
Informatics Institute
Bezoekadres
- Science Park 900
Postadres
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Postbus 94323
1090 GH Amsterdam
Contactgegevens
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Publicaties
2023
van Krieken, E., Thanapalasingam, T., Tomczak, J. M., van Harmelen, F., & ten Teije, A. (2023). A-NeSI: A Scalable Approximate Method for Probabilistic Neurosymbolic Inference. In 37th Conference on Neural Information Processing Systems (NeurIPS 2023) (Advances in Neural Information Processing Systems; Vol. 36). NIPS Foundation. https://openreview.net/forum?id=chlTA9Cegc
2022
- Alivanistos, D., Báez Santamaría, S., Cochez, M., Kalo, J.-C., van Krieken, E., & Thanapalasingam, T. (2022). Prompting as Probing: Using Language Models for Knowledge Base Construction. In S. Singhania, T.-P. Nguyen, & S. Razniewski (Eds.), Proceedings of the Semantic Web Challenge on Knowledge Base Construction from Pre-trained Language Models 2022: co-located with the 21st International Semantic Web Conference (ISWC2022) : virtual event, Hanghzou, China, October 2022 (pp. 11-34). (CEUR Workshop Proceedings; Vol. 3274). CEUR-WS. https://ceur-ws.org/Vol-3274/paper2.pdf [details]
- Thanapalasingam, T., van Berkel, L., Bloem, P., & Groth, P. (2022). Relational graph convolutional networks: a closer look. PeerJ Computer Science, 8, Article e1073. https://doi.org/10.7717/PEERJ-CS.1073 [details]
2023
- Thanapalasingam, T., van Krieken, E., Bloem, P. & Groth, P. (13-4-2023). IntelliGraphs: Datasets for Benchmarking Knowledge Graph Generation. Zenodo. https://doi.org/10.5281/zenodo.8039857
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Nevenwerkzaamheden
Geen nevenwerkzaamheden
van Krieken, E., Thanapalasingam, T., Tomczak, J. M., van Harmelen, F., & ten Teije, A. (2023). A-NeSI: A Scalable Approximate Method for Probabilistic Neurosymbolic Inference. In 37th Conference on Neural Information Processing Systems (NeurIPS 2023) (Advances in Neural Information Processing Systems; Vol. 36). NIPS Foundation.