| Times Are Changing: Investigating the Pace of Language Change in Diachronic Word Embeddings S Brandl, D Lassner Proceedings of the 1st International Workshop on Computational Approaches to …, 2019 | 6 | 2019 |
| Publishing an OCR ground truth data set for reuse in an unclear copyright setting. D Lassner, C Neudecker, J Coburger, A Baillot Zeitschrift für digitale Geisteswissenschaften, 2021 | 4 | 2021 |
| Automatic Identification of Types of Alterations in Historical Manuscripts D Lassner, A Baillot, S Dogadov, KR Müller, S Nakajima arXiv preprint arXiv:2003.09136, 2020 | 3 | 2020 |
| Domain-Specific Word Embeddings with Structure Prediction D Lassner, S Brandl, A Baillot, S Nakajima Transactions of the Association for Computational Linguistics 11, 320-335, 2023 | 2 | 2023 |
| Corona Twitter Dataset: 16 February 2020-03 March 2020 S Brandl, D Lassner | 2 | 2020 |
| Von Graphen zu Word Embeddings–Zur Entwicklung des mathematischen und visuellen Instrumentariums der Literaturwissenschaft A Baillot, D Lassner Germanica 71, 191-203, 2023 | 1 | 2023 |
| Balancing the composition of word embeddings across heterogenous data sets S Brandl, D Lassner, M Alber arXiv preprint arXiv:2001.04693, 2020 | 1 | 2020 |
| Bridging the Gap Between Digital Humanities and Natural Language Processing: A Pedagogical Imperative for Humanistic NLP T Tasovac, N Budak, N Ermolaev, A Janco, D Lassner Multilingual Digital Humanities, 114-126, 2024 | | 2024 |
| Bridging the Gap Between Digital Humanities and Natural Language Processing T Tasovac, N Budak, N Ermolaev, A Janco, D Lassner Multilingual Digital Humanities, 2023 | | 2023 |
| [TACL] Domain-Specific Word Embeddings with Structure Prediction D Lassner, A Baillot, S Nakajima, S Brandl The 61st Annual Meeting Of The Association For Computational Linguistics, 2023 | | 2023 |
| Analysis of Textual Variants with Robust Machine Learning Methods: Towards Novel Insights for the Digital Humanities D Lassner | | 2023 |
| Domain-Specific Word Embeddings with Structure Prediction S Brandl, D Lassner, A Baillot, S Nakajima arXiv preprint arXiv:2210.04962, 2022 | | 2022 |
| Early Corona Twitter Dataset S Brandl, D Lassner Department of Machine Learning, Technische Universität Berlin, 2020 | | 2020 |
| Bias in Datensätzen und ML-Modellen: Erkennung und Umgang in den DH D Lassner, S Brandl, L Guy, A Baillot DHd, 2020 | | 2020 |
| Generative Model For Latent Reasons For Modifications. D Lassner DH, 2017 | | 2017 |
| HAL Id: hal-02861167 S Brandl, D Lassner | | |
| What comes next? Finding connections between word embeddings. D Lassner, S Brandl | | |
Stephanie BrandlPostdoctoral Researcher, University of CopenhagenVerified email at di.ku.dk
