Lisa Beinborn
Lisa Beinborn
CLTL Lab, VU Amsterdam
Geverifieerd e-mailadres voor vu.nl
Geciteerd door
Geciteerd door
Predicting the difficulty of language proficiency tests
L Beinborn, T Zesch, I Gurevych
Transactions of the Association for Computational Linguistics 2, 517-530, 2014
Cognate production using character-based machine translation
L Beinborn, T Zesch, I Gurevych
Proceedings of the Sixth International Joint Conference on Natural Language …, 2013
Blackbox meets blackbox: Representational Similarity and Stability Analysis of Neural Language Models and Brains
S Abnar, L Beinborn, R Choenni, W Zuidema
Proceedings of the ACL-Workshop on Analyzing and Interpreting Neural …, 2019
Multimodal Grounding for Language Processing
L Beinborn, T Botschen, I Gurevych
Proceedings of the 27th International Conference on Computational …, 2018
Readability for foreign language learning: The importance of cognates
L Beinborn, T Zesch, I Gurevych
ITL-International Journal of Applied Linguistics 165 (2), 136-162, 2014
Predicting and Manipulating the Difficulty of Text-Completion Exercises for Language Learning
L Beinborn
http://tuprints.ulb.tu-darmstadt.de/5647/, 2016
Towards fine-grained readability measures for self-directed language learning
L Beinborn, T Zesch, I Gurevych
Electronic Conference Proceedings 80, 11-19, 2012
Semantic drift in multilingual representations
L Beinborn, R Choenni
Computational Linguistics 46 (3), 571-603, 2020
Candidate Evaluation Strategies for Improved Difficulty Prediction of Language Tests
L Beinborn, T Zesch, I Gurevych
Multilingual Language Models Predict Human Reading Behavior
N Hollenstein, F Pirovano, C Zhang, L Jäger, L Beinborn
arXiv preprint arXiv:2104.05433, 2021
Robust Evaluation of Language-Brain Encoding Experiments
L Beinborn, S Abnar, R Choenni
arXiv preprint arXiv:1904.02547, 2019
Predicting the Spelling Difficulty of Words for Language Learners
L Beinborn, T Zesch, I Gurevych
Proceedings of the 11th Workshop on Innovative Use of NLP for Building …, 2016
Towards best practices for leveraging human language processing signals for natural language processing
N Hollenstein, M Barrett, L Beinborn
Proceedings of the Second Workshop on Linguistic and Neurocognitive …, 2020
Relative Importance in Sentence Processing
N Hollenstein, L Beinborn
arXiv preprint arXiv:2106.03471, 2021
Generating Image Descriptions via Sequential Cross-Modal Alignment Guided by Human Gaze
E Takmaz, S Pezzelle, L Beinborn, R Fernández
arXiv preprint arXiv:2011.04592, 2020
Probing Multilingual BERT for Genetic and Typological Signals
T Rama, L Beinborn, S Eger
arXiv preprint arXiv:2011.02070, 2020
A domain-agnostic approach for opinion prediction on speech
PB Santos, L Beinborn, I Gurevych
Proceedings of the Workshop on Computational Modeling of People's Opinions …, 2016
Vector-space models of words and sentences
M Repplinger, L Beinborn, W Zuidema
Post-editing of statistical maschine translation: A crosslinguistic analysis of the temporal, technical and cognitive effort
L Beinborn
Universität des Saarlandes, 2010
The Fluidity of Concept Representations in Human Brain Signals
E Hendrikx, L Beinborn
arXiv preprint arXiv:2002.08880, 2020
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