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Lena A. Jäger
Lena A. Jäger
Associate Professor, University of Zurich, Department of Computational Linguistics
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Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Similarity-based interference in sentence comprehension: Literature review and Bayesian meta-analysis
LA Jäger, F Engelmann, S Vasishth
Journal of Memory and Language 94, 316-339, 2017
2502017
The statistical significance filter leads to overoptimistic expectations of replicability
S Vasishth, D Mertzen, LA Jäger, A Gelman
Journal of Memory and Language 103, 151-175, 2018
2082018
Interference patterns in subject-verb agreement and reflexives revisited: A large-sample study
LA Jäger, D Mertzen, JA Van Dyke, S Vasishth
Journal of Memory and Language 111, 104063, 2020
1332020
The subject-relative advantage in Chinese: Evidence for expectation-based processing
L Jäger, Z Chen, Q Li, CJC Lin, S Vasishth
Journal of Memory and Language 79, 97-120, 2015
1292015
The effect of prominence and cue association on retrieval processes: A computational account
F Engelmann, LA Jӓger, S Vasishth
Cognitive Science 43 (12), e12800, 2019
1112019
Retrieval interference in reflexive processing: experimental evidence from Mandarin, and computational modeling
LA Jäger, F Engelmann, S Vasishth
Frontiers in psychology 6, 617, 2015
892015
Revisiting the Uniform Information Density Hypothesis
RL Clara Meister, Tiago Pimentel, Patrick Haller, Lena Jäger, Ryan Cotterell
Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021
81*2021
How structure-sensitive is the parser? Evidence from Mandarin Chinese
Z Chen, L Jäger, S Vasishth
Empirical approaches to linguistic theory: Studies of meaning and structure …, 2012
622012
Deep Eyedentification: Biometric identification using micro-movements of the eye
TS Lena A. Jäger, Silvia Makowski, Paul Prasse, Liehr Sascha, Maximilian Seidler
Machine Learning and Knowledge Discovery in Databases. ECML PKDD, 299-314, 2019
59*2019
Multilingual Language Models Predict Human Reading Behavior
LJLB Nora Hollenstein, Federico Pirovano, Ce Zhang
Proceedings of the 2021 Conference of the North American Chapter of the …, 2021
53*2021
Teasing apart retrieval and encoding interference in the processing of anaphors
LA Jäger, L Benz, J Roeser, BW Dillon, S Vasishth
Frontiers in psychology 6, 506, 2015
512015
Real-time dynamic strain sensing in optical fibers using artificial neural networks
S Liehr, LA Jäger, C Karapanagiotis, S Münzenberger, S Kowarik
Optics express 27 (5), 7405-7425, 2019
502019
DeepEyedentificationLive: Oculomotoric biometric identification and presentation-attack detection using deep neural networks
S Makowski, P Prasse, DR Reich, D Krakowczyk, LA Jäger, T Scheffer
IEEE Transactions on Biometrics, Behavior, and Identity Science 3 (4), 506-518, 2021
442021
A discriminative model for identifying readers and assessing text comprehension from eye movements
S Makowski, LA Jäger, A Abdelwahab, N Landwehr, T Scheffer
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2019
342019
Retrieval and encoding interference: Cross-linguistic evidence from anaphor processing
A Laurinavichyute, LA Jäger, Y Akinina, J Roß, O Dragoy
Frontiers in psychology 8, 965, 2017
312017
Inferring native and non-native human reading comprehension and subjective text difficulty from scanpaths in reading
DR Reich, P Prasse, C Tschirner, P Haller, F Goldhammer, LA Jäger
2022 Symposium on Eye Tracking Research and Applications, 1-8, 2022
292022
Biometric identification and presentation-attack detection using micro-and macro-movements of the eyes
S Makowski, LA Jäger, P Prasse, T Scheffer
2020 IEEE International Joint Conference on Biometrics (IJCB), 1-10, 2020
232020
Feature overwriting as a finite mixture process: Evidence from comprehension data
S Vasishth, LA Jäger, B Nicenboim
arXiv preprint arXiv:1703.04081, 2017
212017
The determinants of retrieval interference in dependency resolution: Review and computational modeling
F Engelmann, LA Jäger, S Vasishth
Manuscript submitted, 2015
182015
Potsdam Textbook Corpus (PoTeC): Eye tracking data from experts and non-experts reading scientific texts. available on OSF, DOI 10.17605/OSF
L Jäger, T Kern, P Haller
IO/DN5HP, 2021
16*2021
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