| 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 | 83 | 2019 |
| Predicting the difficulty of language proficiency tests L Beinborn, T Zesch, I Gurevych Transactions of the Association for Computational Linguistics 2, 517-530, 2014 | 69 | 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 | 57 | 2013 |
| Multilingual Language Models Predict Human Reading Behavior N Hollenstein, F Pirovano, C Zhang, L Jäger, L Beinborn Proceedings of NAACL, 2021 | 45 | 2021 |
| Multimodal Grounding for Language Processing L Beinborn, T Botschen, I Gurevych Proceedings of the 27th International Conference on Computational …, 2018 | 35 | 2018 |
| Semantic drift in multilingual representations L Beinborn, R Choenni Computational Linguistics 46 (3), 571-603, 2020 | 32 | 2020 |
| Relative importance in sentence processing N Hollenstein, L Beinborn Proceedings of the Association for Computational Linguistics, 2021 | 31 | 2021 |
| 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 | 31 | 2014 |
| Generating Image Descriptions via Sequential Cross-Modal Alignment Guided by Human Gaze E Takmaz, S Pezzelle, L Beinborn, R Fernández Proceedings of EMNLP, 2020 | 29 | 2020 |
| Predicting and Manipulating the Difficulty of Text-Completion Exercises for Language Learning L Beinborn Dissertation: http://tuprints.ulb.tu-darmstadt.de/5647/, 2016 | 28 | 2016 |
| Candidate Evaluation Strategies for Improved Difficulty Prediction of Language Tests L Beinborn, T Zesch, I Gurevych | 26 | 2015 |
| 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 | 25 | 2020 |
| Robust Evaluation of Language–Brain Encoding Experiments L Beinborn, S Abnar, R Choenni International Conference on Computational Linguistics and Intelligent Text …, 2019 | 23 | 2019 |
| Probing Multilingual BERT for Genetic and Typological Signals T Rama, L Beinborn, S Eger Proceedings of Coling, 2020 | 19 | 2020 |
| Towards fine-grained readability measures for self-directed language learning L Beinborn, T Zesch, I Gurevych Electronic Conference Proceedings 80, 11-19, 2012 | 19 | 2012 |
| 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 | 15 | 2016 |
| Analyzing Cognitive Plausibility of Subword Tokenization L Beinborn, Y Pinter arXiv preprint arXiv:2310.13348, 2023 | 11 | 2023 |
| Cognitive plausibility in natural language processing L Beinborn, N Hollenstein Springer, 2024 | 8 | 2024 |
| Patterns of text readability in human and predicted eye movements N Hollenstein, I Gonzalez-Dios, L Beinborn, L Jäger Proceedings of the Workshop on Cognitive Aspects of the Lexicon, 1-15, 2022 | 8 | 2022 |
| A Cross-lingual Comparison of Human and Model Relative Word Importance F Morger, S Brandl, L Beinborn, N Hollenstein Proceedings of the 2022 CLASP Conference on (Dis) embodiment, 11-23, 2022 | 7 | 2022 |
Iryna GurevychFull Professor, TU Darmstadt; Adjunct Professor, MBZUAI, UAE; Affiliated Professor, INSAIT, BulgariaVerified email at cs.tu-darmstadt.de
