Network Scientific Publications (January-April 2023)

Vulchanova, M., Vulchanov, V. & Allen, M. Word learning in ASD: the sensorimotor, the perceptual and the symbolic. J Cult Cogn Sci (2023). https://doi.org/10.1007/s41809-022-00117-9

Søby, K., Milburn, E., Kristensen, L., Vulchanov, V., & Vulchanova, M. (2023). In the native speaker’s eye: Online processing of anomalous learner syntax. Applied Psycholinguistics, 1-28. https://doi.org/10.1017/S0142716422000418

Krassanakis, V. (2023). PeyeMMV: Python implementation of EyeMMV’s fixation detection algorithm. Software Impacts, 100475. https://doi.org/10.1016/j.simpa.2023.100475

Daniel G. Krakowczyk, David R. Reich, Jakob Chwastek, Assunta Süss, Paul Prasse, Deborah N. Jakobi, Oleksii Turuta, Paweł Kasprowski and Lena A. Jäger ETRA 2023. pymovements: A Python package for eye movement data processing. https://doi.org/10.48550/arXiv.2304.09859

Shuwen Deng, David R. Reich, Paul Prasse, Patrick Haller, Tobias Scheffer and Lena A. Jäger. (2023) Eyettention: An Attention-based Dual-Sequence Model for Predicting Human Scanpaths during Reading, To appear in The Proceedings of the ACM of Human Computer Interaction https://doi.org/10.48550/arXiv.2304.10784

Daniel Krakowczyk, Paul Prasse, David R. Reich, Sebastian Lapuschkin, Tobias Scheffer and Lena A. Jäger, ETRA 2023.Bridging the Gap: Gaze Events as Interpretable Concepts to Explain Deep Neural Sequence Models
https://doi.org/10.48550/arXiv.2304.1353
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Lago, S., Stone, K., Oltrogge, E., & Veríssimo, J. (2022, online). Possessive processing in bilingual comprehension. Language Learning. https://doi.org/10.1111/lang.12556

Pouw, C., Hollenstein, N., and Beinborn, L. : Cross-Lingual Transfer of Cognitive Complexity, to appear in Findings of EACL, https://arxiv.org/pdf/2302.12695.pdf

Björnsdóttir, M., Hollenstein, N., & Barrett, M. Dyslexia Prediction from Natural Reading of Danish Texts. In The 24rd Nordic Conference on Computational Linguistics. 2023. 

Ribeiro, T., Brandl, S., Søgaard, A., & Hollenstein, N. (2023). WebQAmGaze: A Multilingual Webcam Eye-Tracking-While-Reading Dataset. arXiv preprint arXiv:2303.17876. https://arxiv.org/abs/2303.17876 

Yang, Duo, and Nora Hollenstein. “PLM-AS: Pre-trained Language Models Augmented with Scanpaths for Sentiment Classification.” Proceedings of the Northern Lights Deep Learning Workshop. Vol. 4. 2023. https://doi.org/10.7557/18.6797

Khurana, V., Singla, Y. K., Hollenstein, N., Kumar, R., & Krishnamurthy, B. (2023). Synthesizing Human Gaze Feedback for Improved NLP Performance. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics. https://arxiv.org/abs/2302.05721


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