Publications

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Bizzoni, Y., Moreira, P., Dwenger, N., Lassen, I., Thomsen, M. & Nielbo, K. (2023). Good Reads and Easy Novels: Readability and Literary Quality in a Corpus of US-published Fiction. In T. Alumäe & M. Fishel (Eds.), Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa) (pp. 42-51). University of Tartu Library. https://aclanthology.org/2023.nodalida-1.5
Moreira, P. F., Bizzoni, Y., Nielbo, K. L., Lassen, I. M. S. & Thomsen, M. R. (2023). Modeling Readers’ Appreciation of Literary Narratives Through Sentiment Arcs and Semantic Profiles. In N. Akoury, E. Clark, M. Iyyer, S. Chaturvedi, F. Brahman & K. R. Chandu (Eds.), 5th Workshop on Narrative Understanding : Proceedings of the Workshop (pp. 25-35). Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.wnu-1.5, https://doi.org/10.18653/v1/2023.wnu-1.5
Günther, E., Bendschus, T., Deligio, C., Hofmann, K. P., Kipke, M., Langner, M., Reinhardt, C., Rösler, K. & Verstegen, U. (2023). NEUES SEHEN – Aktuelle Ansätze der Digitalen Archäologie in der Objekt- und Bildwissenschaft. Digital Classics Online, Bd. 9 (2023). https://doi.org/10.11588/DCO.2023.9.98489
Kostkan, J., Kardos, M., Mortensen, J. P. B. & Nielbo, K. L. (2023). OdyCy – A general-purpose NLP pipeline for Ancient Greek. In S. Degaetano-Ortlieb, A. Kazantseva, N. Reiter & S. Szpakowicz (Eds.), Proceedings of the 7th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LaTeCH-CLfL2023) (pp. 128–134). Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.latechclfl-1.14
Nielbo, K. L., Kostkan, J., Baunvig, K. F., Borisova, E. & Geertz, A. W. (2023). Oscillation between Contemplation and Revelation: Recurrence and Change in the Life History of Teresa of Ávila. In A. Šeļa, F. Jannidis & I. Romanowska (Eds.), Computational Humanities Research 2023: Proceedings of the Computational Humanities Research Conference 2023 (Vol. 3558, pp. 715-733). CEUR-WS.org. https://ceur-ws.org/Vol-3558/paper8108.pdf
Bizzoni, Y., Feldkamp, P., Lassen, I. M. S., Rosendahl Thomsen, M. & Nielbo, K. (2023). Readability and Complexity: Diachronic Evolution of Literary Language Across 9000 Novels. In M. Hämäläinen, E. Öhman, F. Pirinen, K. Alnajjar, S. Miyagawa, Y. Bizzoni, N. Partanen & J. Rueter (Eds.), Proceedings of the Joint 3rd International Conference on Natural Language Processing for Digital Humanities and 8th International Workshop on Computational Linguistics for Uralic Languages (pp. 235-247). Association for Computational Linguistics. https://aclanthology.org/2023.nlp4dh-1.27
Bizzoni, Y., Moreira, P. F., Thomsen, M. R. & Nielbo, K. L. (2023). Sentimental Matters Predicting Literary Quality with Sentiment Analysis and Stylistic Features. In J. Barnes, O. De Clercq & R. Klinger (Eds.), Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis (pp. 11-18). Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.wassa-1.2
Baunvig, K. F., Møldrup-Dalum, P., Rasmussen, K. S. G. & Vad, K. (2023). Storage Over Rendition: Towards a Sustainable Infrastructure in the Digital Textual Heritage Sector. In S. Gilbert & A. Rockenberger (Eds.), Book of Abstracts: Sustainability: Environment, Community, Data (pp. 77-78). Oslo Universitet.
Lassen, I. M. S., Bizzoni, Y., Thomsen, M. R. & Nielbo, K. L. (2023). Systematic Gender Asymmetries in Aesthetic Judgments: An Observational Study of Book Reviewer Preferences. In A. Baillot, W. Scholger, T. Tasovac & G. Vogeler (Eds.), Digital Humanities 2023: Book of Abstracts (pp. 404-406). Zentrum für Informationsmodellierung - Austrian Centre for Digital Humanities,University of Graz. https://doi.org/10.5281/zenodo.7961822
Lassche, A., Kostkan, J. & Nielbo, K. L. (2022). Chronicling Crises: Event Detection in Early Modern Chronicles from the Low Countries. In Proceedings of the Computational Humanities Research Conference 2022 (CHR 2022) (pp. 215-230). CEUR-WS.org. https://ceur-ws.org/Vol-3290/short_paper4697.pdf
Kipke, M., Brinkmeyer, L., Bagayoko, S., Schmidt-Thieme, L. & Langner, M. (2022). Deep Level Annotation for Painter Attribution on Greek Vases utilizing Object Detection. In Proceedings of the 4th ACM International workshop on Structuring and Understanding of Multimedia heritAge Contents (pp. 23-31). ACM. https://doi.org/10.1145/3552464.3555684
Bilstrup, K. E. K., Kaspersen, M. H., Assent, I., Enni, S. & Petersen, M. G. (2022). From Demo to Design in Teaching Machine Learning. In Proceedings of the 5th ACM Conference on Fairness, Accountability, and Transparency, FAccT 2022 (pp. 2168-2178). Association for Computing Machinery. https://doi.org/10.1145/3531146.3534634
Nielbo, K. L., Baglini, R. B. & Roepstorff, A. (2022). Information Decoupling as a Pandemic Signature in News Media. Abstract from Digital Humanities in the Nordic and Baltic Countries Conference (DHNB 2022), Uppsala, Sweden. https://dhnb.eu/wp-content/uploads/2022/03/DHNB2022_book_of_abstracts.pdf
Baunvig, K. F. & Nielbo, K. L. (2022). Mermaids are Birds: Embedding N.F.S. Grundtvig’s Bestiary. In K. Berglund, M. La Mela & I. Zwart (Eds.), Proceedings of the 6th Digital Humanities in the Nordic and Baltic Countries Conference (DHNB 2022) (Vol. 3232, pp. 23-32). CEUR-WS.org. http://ceur-ws.org/Vol-3232/paper02.pdf
Baunvig, K. F. & Nielbo, K. L. (2022). Mermaids are Birds. Text Mining N.F.S. Grundtvig's Bestiary. In Digital Humanities in the Nordic and Baltic Countries Conference (DHNB 2022)
Nielbo, K. L., Nichols, R. & Slingerland, E. (2022). Mining the Past: Data-Intensive Knowledge Discovery in the Study of Historical Textual Traditions. In Studying the Religious Mind - Methodology in the Cognitive Science of Religion (pp. 373-398). Equinox Publishing.
Bizzoni, Y., Lassen, I. M. S., Peura, T., Thomsen, M. R. & Nielbo, K. L. (2022). Predicting Literary Quality - How Perspectivist Should We Be? In 1st Workshop on Perspectivist Approaches to Disagreement in NLP, NLPerspectives 2022 as part of Language Resources and Evaluation Conference, LREC 2022 Workshop (pp. 20-25). European Language Resources Association. http://lrec-conf.org/proceedings/lrec2022/workshops/NLPerspectives/pdf/2022.nlperspectives-1.3.pdf
Baun, P. S. & Nielbo, K. L. (2022). Right-wing Mnemonics. In Proceedings of the Computational Humanities Research Conference 2022 (Vol. 3290, pp. 152-161). CEUR-WS.org. https://ceur-ws.org/Vol-3290/short_paper6153.pdf
Geertz, A. W., Ambasciano, L., Eidinow, E., Martin, L. H., Nielbo, K. L., Roubekas, N. P., van Mulukom, V. & Xygalatas, D. (Eds.) (2022). Studying the religious mind: Methodology in the cognitive science of religion. Equinox Publishing.
Sørensen, J. & Nielbo, K. L. (2022). The Experimental Study of Religion: Or There and Back Again. In Studying the Religious Mind : Methodology in the Cognitive Science of Religion (pp. 77-94). Equinox Publishing.
Lassche, A. & Nielbo, K. L. (2022). The Third Time is a Charm. In Proceedings of the Computational Humanities Research Conference 2022 (Vol. 3290, pp. V-XIII). CEUR-WS.org. https://ceur-ws.org/Vol-3290/xpreface.pdf