| SemEval-2020 task 1: Unsupervised lexical semantic change detection D Schlechtweg, B McGillivray, S Hengchen, H Dubossarsky, ... arXiv preprint arXiv:2007.11464, 2020 | 268 | 2020 |
| Hypernyms under siege: Linguistically-motivated artillery for hypernymy detection V Shwartz, E Santus, D Schlechtweg arXiv preprint arXiv:1612.04460, 2016 | 135 | 2016 |
| Time-out: Temporal referencing for robust modeling of lexical semantic change H Dubossarsky, S Hengchen, N Tahmasebi, D Schlechtweg arXiv preprint arXiv:1906.01688, 2019 | 134 | 2019 |
| A wind of change: Detecting and evaluating lexical semantic change across times and domains D Schlechtweg, A Hätty, M Del Tredici, SS Walde arXiv preprint arXiv:1906.02979, 2019 | 129 | 2019 |
| Diachronic usage relatedness (DURel): A framework for the annotation of lexical semantic change D Schlechtweg, SS Walde, S Eckmann arXiv preprint arXiv:1804.06517, 2018 | 109 | 2018 |
| CCOHA: Clean corpus of historical American English R Alatrash, D Schlechtweg, J Kuhn, SS Im Walde Proceedings of the Twelfth Language Resources and Evaluation Conference …, 2020 | 64 | 2020 |
| Explaining and improving BERT performance on lexical semantic change detection S Laicher, S Kurtyigit, D Schlechtweg, J Kuhn, SS Walde arXiv preprint arXiv:2103.07259, 2021 | 63 | 2021 |
| DWUG: A large resource of diachronic word usage graphs in four languages D Schlechtweg, N Tahmasebi, S Hengchen, H Dubossarsky, ... arXiv preprint arXiv:2104.08540, 2021 | 47 | 2021 |
| LSCDiscovery: A shared task on semantic change discovery and detection in Spanish FD Zamora-Reina, F Bravo-Marquez, D Schlechtweg arXiv preprint arXiv:2205.06691, 2022 | 45 | 2022 |
| Challenges for computational lexical semantic change S Hengchen, N Tahmasebi, D Schlechtweg, H Dubossarsky Computational approaches to semantic change 6, 341, 2021 | 35 | 2021 |
| German in flux: Detecting metaphoric change via word entropy D Schlechtweg, S Eckmann, E Santus, SS Walde, D Hole arXiv preprint arXiv:1706.04971, 2017 | 35 | 2017 |
| Simulating lexical semantic change from sense-annotated data D Schlechtweg, SS Walde arXiv preprint arXiv:2001.03216, 2020 | 30 | 2020 |
| SURel: A gold standard for incorporating meaning shifts into term extraction A Hätty, D Schlechtweg, SS im Walde Proceedings of the Eighth Joint Conference on Lexical and Computational …, 2019 | 28 | 2019 |
| Lexical semantic change discovery S Kurtyigit, M Park, D Schlechtweg, J Kuhn, SS Walde arXiv preprint arXiv:2106.03111, 2021 | 25 | 2021 |
| Predicting degrees of technicality in automatic terminology extraction A Hätty, D Schlechtweg, M Dorna, SS im Walde Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 24 | 2020 |
| Human and computational measurement of lexical semantic change D Schlechtweg Universität Stuttgart, 2023 | 16 | 2023 |
| Op-ims@ diacr-ita: Back to the roots: Sgns+ op+ cd still rocks semantic change detection J Kaiser, D Schlechtweg, SS Walde arXiv preprint arXiv:2011.03258, 2020 | 16 | 2020 |
| Effects of pre-and post-processing on type-based embeddings in lexical semantic change detection J Kaiser, S Kurtyigit, S Kotchourko, D Schlechtweg arXiv preprint arXiv:2101.09368, 2021 | 15 | 2021 |
| IMS at SemEval-2020 task 1: How low can you go? dimensionality in lexical semantic change detection J Kaiser, D Schlechtweg, S Papay, SS Walde arXiv preprint arXiv:2008.03164, 2020 | 13 | 2020 |
| ChiWUG: A graph-based evaluation dataset for chinese lexical semantic change detection J Chen, E Chersoni, D Schlechtweg, J Prokić, CR Huang Proceedings of the 4th Workshop on Computational Approaches to Historical …, 2023 | 12 | 2023 |
Sabine Schulte im WaldeUniversity of Stuttgart, Germanyims.uni-stuttgart.de의 이메일 확인됨