| Measuring emotions in the covid-19 real world worry dataset B Kleinberg, I van der Vegt, M Mozes NLP COVID-19 Workshop, ACL 2020, 2020 | 182* | 2020 |
| Frequency-guided word substitutions for detecting textual adversarial examples M Mozes, P Stenetorp, B Kleinberg, LD Griffin EACL 2021, 2020 | 56 | 2020 |
| Using named entities for computer‐automated verbal deception detection B Kleinberg, M Mozes, A Arntz, B Verschuere Journal of forensic sciences 63 (3), 714-723, 2018 | 45 | 2018 |
| Online influence, offline violence: language use on YouTube surrounding the ‘Unite the Right’rally I Van der Vegt, M Mozes, P Gill, B Kleinberg Journal of Computational Social Science 4, 333-354, 2021 | 25 | 2021 |
| Identifying the sentiment styles of YouTube's vloggers B Kleinberg, M Mozes, I van der Vegt EMNLP 2018, 2018 | 24 | 2018 |
| The grievance dictionary: Understanding threatening language use I van der Vegt, M Mozes, B Kleinberg, P Gill Behavior research methods, 1-15, 2021 | 17 | 2021 |
| Netanos-named entity-based text anonymization for open science B Kleinberg, M Mozes, Y van der Toolen OSF Preprints, 2017 | 15 | 2017 |
| No intruder, no validity: Evaluation criteria for privacy-preserving text anonymization M Mozes, B Kleinberg arXiv preprint arXiv:2103.09263, 2021 | 14 | 2021 |
| Web-based text anonymization with Node.js: Introducing NETANOS (Named entity-based Text Anonymization for Open Science) MM Bennett Kleinberg The Journal of Open Source Software 2 (14), 2017 | 11 | 2017 |
| Uphill from here: Sentiment patterns in videos from left-and right-wingYouTube news channels F Soldner, JCT Ho, M Makhortykh, I Van der Vegt, M Mozes, B Kleinberg Workshop on Natural Language Processing and Computational Social Science 3 …, 2019 | 10 | 2019 |
| Contrasting human-and machine-generated word-level adversarial examples for text classification M Mozes, M Bartolo, P Stenetorp, B Kleinberg, LD Griffin EMNLP 2021, 2021 | 8 | 2021 |
| Netanos-named entity-based text anonymization for open science (2017) B Kleinberg, M Mozes, Y van der Toolen preprint on Open Science Framework, 2017 | 4 | 2017 |
| Measuring emotions in the COVID-19 real world worry dataset. 2020 B Kleinberg, I van der Vegt, M Mozes | 4 | 2004 |
| Textwash--automated open-source text anonymisation B Kleinberg, T Davies, M Mozes arXiv preprint arXiv:2208.13081, 2022 | 3 | 2022 |
| Online influence, offline violence: Language Use on YouTube surrounding the'Unite the Right'rally IVD Vegt, M Mozes, P Gill, B Kleinberg Journal of Computational Social Science 4, 333-354, 2020 | 3 | 2020 |
| Susceptibility to Influence of Large Language Models LD Griffin, B Kleinberg, M Mozes, KT Mai, M Vau, M Caldwell, ... arXiv preprint arXiv:2303.06074, 2023 | 2 | 2023 |
| A repeated-measures study on emotional responses after a year in the pandemic M Mozes, I van der Vegt, B Kleinberg Scientific Reports 11 (1), 23114, 2021 | 2 | 2021 |
| Scene Graph Generation for Better Image Captioning? M Mozes, M Schmitt, V Golkov, H Schütze, D Cremers arXiv preprint arXiv:2109.11398, 2021 | 1 | 2021 |
| Towards Agile Text Classifiers for Everyone M Mozes, J Hoffmann, K Tomanek, M Kouate, N Thain, A Yuan, ... arXiv preprint arXiv:2302.06541, 2023 | | 2023 |
| Gradient-Based Automated Iterative Recovery for Parameter-Efficient Tuning M Mozes, T Bolukbasi, A Yuan, F Liu, N Thain, L Dixon arXiv preprint arXiv:2302.06598, 2023 | | 2023 |
Bennett KleinbergAssistant ProfessorVerified email at tilburguniversity.edu
