Biography
Lisanne has obtained a research masterās degree in Comparative Literature at Utrecht University in 2020. After a year-long graduation internship at Huygens Institute as a trainee in Computational Literary Studies, Lisanne is now active in the project management of the European infrastructural project CLS INFRA. As Work Package 4 lead, she is responsible for surveying the demand in training in computational methods for literary analysis. She also works together with international partners to supplement the current offer in schooling with a series of Training Schools. Lisanneās research topics of interest are narrative perspective, plot and character voice, and dialogue detection.
Research projects
Publications
2021
van Rossum, L. van Zundert, J. J. & van Dalen-Oskam, K. H. (2021). I-Catching: Computationally Operationalising Narrative Perspective for Stylometric Analysis. In W. Dillen, M. Koolen, & M. van Erp (Eds.), DH Benelux Journal: DHBenelux Online (Autumn ed. Vol. 3, pp. 1-12) https://doi.org/10.17613/p3z7-4c05
2022
Neugarten, J. van Rossum, L. & van Zundert, J. J. (2022). Defying Expectations: Stylistically Unconventional Anger in a Contemporary Dutch Literary Novel. 1-7. https://doi.org/10.5281/zenodo.6594637
2022
Lisanne van Rossum, Artjoms Šeļa (2022). The New Wave: Charting Skills Gap in Computational Literary Studies Training. 11-05-2022.
Lisanne van Rossum, Artjoms Šeļa (2022). The New Wave: Charting Skills Gap in Computational Literary Studies Training. 08-04-2022.
2021
Lisanne van Rossum, Joris J. van Zundert, K.H. van Dalen-Oskam (2021). I Catching — Computationally Operationalising Narrative Perspective for Stylometric Analysis. 23-09-2021. (EADH2021: Interdisciplinary Perspectives on Data)