M.A. (Maartje) ter Hoeve MSc
Faculty of Science
Informatics Institute
Visiting address
- Science Park 904
Postal address
- Postbus 94323
1090 GH Amsterdam
Contact details
-
Publications
2021
Lucic, A., ter Hoeve, M., Tolomei, G., de Rijke, M., & Silvestri, F. (2021). CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks. In DLG-KDD’21: Deep Learning on Graphs, August 14–18, 2021, Online [3] ACM. https://doi.org/10.1145/1122445.1122456 [details]
2020
- ter Hoeve, M., Sim, R., Nouri, E., Fourney, A., de Rijke, M., & White, R. W. (2020). Conversations with Documents: An Exploration of Document-Centered Assistance. In CHIIR '20: proceedings of the 2020 Conference on Human Information Interaction and Retrieval : March 14-18, 2020, Vancouver, BC, Canada (pp. 43-52). The Association for Computing Machinery. https://doi.org/10.1145/3343413.3377971 [details]
2019
- Baan, J., ter Hoeve, M., van der Wees, M., Schuth, A., & de Rijke, M. (2019). Do Transformer Attention Heads Provide Transparency in Abstractive Summarization? In Proceedings of FACTS-IR 2019 ArXiv. https://arxiv.org/abs/1907.00570 [details]
2020
- Stap, D., Bleeker, M., Ibrahimi, S., & ter Hoeve, M. (2020). Conditional image generation and manipulation for user-specified content. Paper presented at AI for Content Creation Workshop, Seattle, Washington, United States. https://doi.org/10.48550/arXiv.2005.04909 [details]
- ter Hoeve, M., Sim, R., Nouri, E., Fourney, A., de Rijke, M., & White, R. W. (2020). Conversations with Documents: An Exploration of Document-Centered Assistance. Paper presented at 5th ACM SIGIR Conference on Information Interaction and Retrieval, CHIIR 2020, Vancouver, Canada. https://arxiv.org/abs/2002.00747 [details]
2019
- Baan, J., ter Hoeve, M. A., van der Wees, M. E., Schuth, A., & de Rijke, M. (2019). Understanding Multi-Head Attention in Abstractive Summarization.
2021
- Lucic, A., ter Hoeve, M., Tolomei, G., de Rijke, M., & Silvestri, F. (2021). CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks. (v1 ed.) arXiv.org. https://arxiv.org/abs/2102.03322v1 [details]
2020
- ter Hoeve, M. A., Kiseleva, Y., & de Rijke, M. (2020). What Makes a Good Summary? Reconsidering the Focus of Automatic Summarization. ArXiv.
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Ancillary activities
- No ancillary activities
Lucic, A., ter Hoeve, M., Tolomei, G., de Rijke, M., & Silvestri, F. (2021). CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks. In DLG-KDD’21: Deep Learning on Graphs, August 14–18, 2021, Online [3] ACM.