STEREO: a pipeline for extracting experiment statistics, conditions, and topics from scientific papers S Epp, M Hoffmann, N Lell, M Mohr, A Scherp The 23rd International Conference on Information Integration and Web …, 2021 | 7* | 2021 |
Memorization of Named Entities in Fine-Tuned BERT Models A Diera, N Lell, A Garifullina, A Scherp International Cross-Domain Conference for Machine Learning and Knowledge …, 2023 | 5* | 2023 |
Fine-Tuning Language Models for Scientific Writing Support J Mücke, D Waldow, L Metzger, P Schauz, M Hoffman, N Lell, A Scherp International Cross-Domain Conference for Machine Learning and Knowledge …, 2023 | 4 | 2023 |
The Split Matters: Flat Minima Methods for Improving the Performance of GNNs N Lell, A Scherp International Cross-Domain Conference for Machine Learning and Knowledge …, 2023 | 2 | 2023 |
Text Role Classification in Scientific Charts Using Multimodal Transformers HJ Kim, N Lell, A Scherp International Conference on Applications of Natural Language to Information …, 2024 | 1 | 2024 |
On the Rule-Based Extraction of Statistics Reported in Scientific Papers T Kalmbach, M Hoffmann, N Lell, A Scherp International Conference on Applications of Natural Language to Information …, 2023 | 1 | 2023 |
Lifelong Graph Summarization with Neural Networks: 2012, 2022, and a Time Warp J Frank, M Hoffmann, N Lell, D Richerby, A Scherp arXiv preprint arXiv:2407.18042, 2024 | | 2024 |
HyperAggregation: Aggregating over Graph Edges with Hypernetworks N Lell, A Scherp 2024 International Joint Conference on Neural Networks (IJCNN), 1-9, 2024 | | 2024 |
Extracting Experiment Statistics, Conditions, and Topics from Scientific Papers with STEREO. S Epp, M Hoffmann, N Lell, M Mohr, A Scherp J. Data Intell. 3 (2), 252-277, 2022 | | 2022 |