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).

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.

Krassanakis, V. (2023). PeyeMMV: Python implementation of EyeMMV’s fixation detection algorithm. Software Impacts, 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.

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

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

Lago, S., Stone, K., Oltrogge, E., & Veríssimo, J. (2022, online). Possessive processing in bilingual comprehension. Language Learning.

Pouw, C., Hollenstein, N., and Beinborn, L. : Cross-Lingual Transfer of Cognitive Complexity, to appear in Findings of EACL,

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. 

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.

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.