| A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios MA Hedderich, L Lange, H Adel, J Strötgen, D Klakow arXiv preprint arXiv:2010.12309, 2020 | 213 | 2020 |
| Transfer Learning and Distant Supervision for Multilingual Transformer Models: A Study on African Languages MA Hedderich, D Adelani, D Zhu, J Alabi, U Markus, D Klakow Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 46 | 2020 |
| Training a Neural Network in a Low-Resource Setting on Automatically Annotated Noisy Data MA Hedderich, D Klakow Proceedings of the Workshop on Deep Learning Approaches for Low-Resource NLP …, 2018 | 37 | 2018 |
| On the Interplay Between Fine-tuning and Sentence-level Probing for Linguistic Knowledge in Pre-trained Transformers M Mosbach, A Khokhlova, MA Hedderich, D Klakow Findings of the Association for Computational Linguistics: EMNLP 2020, 2502–2516, 2020 | 36 | 2020 |
| MCSE: Multimodal Contrastive Learning of Sentence Embeddings M Zhang, M Mosbach, DI Adelani, MA Hedderich, D Klakow arXiv preprint arXiv:2204.10931, 2022 | 23 | 2022 |
| Is BERT Robust to Label Noise? A Study on Learning with Noisy Labels in Text Classification D Zhu, MA Hedderich, F Zhai, DI Adelani, D Klakow arXiv preprint arXiv:2204.09371, 2022 | 18 | 2022 |
| Handling Noisy Labels for Robustly Learning from Self-Training Data for Low-Resource Sequence Labeling D Paul, M Singh, MA Hedderich, D Klakow Proceedings of the 2019 Conference of the North American Chapter of the …, 2019 | 18 | 2019 |
| Using Multi-Sense Vector Embeddings for Reverse Dictionaries MA Hedderich, A Yates, D Klakow, G de Melo Proceedings of the 13th International Conference on Computational Semantics …, 2019 | 18 | 2019 |
| ANEA: Distant Supervision for Low-Resource Named Entity Recognition MA Hedderich, L Lange, D Klakow ICLR 2021 Workshop Practical Machine Learning For Developing Countries, 2021 | 17* | 2021 |
| SoloFinger: Robust Microgestures while Grasping Everyday Objects A Sharma, MA Hedderich, D Bhardwaj, B Fruchard, J McIntosh, AS Nittala, ... Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems …, 2021 | 15 | 2021 |
| Feature-Dependent Confusion Matrices for Low-Resource NER Labeling with Noisy Labels L Lange, MA Hedderich, D Klakow Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 14 | 2019 |
| Analysing the Noise Model Error for Realistic Noisy Label Data MA Hedderich, D Zhu, D Klakow Proceedings of the AAAI Conference on Artificial Intelligence 35 (9), 7675-7684, 2021 | 11 | 2021 |
| Distant Supervision and Noisy Label Learning for Low Resource Named Entity Recognition: A Study on Hausa and Yorùbá D Ifeoluwa Adelani, MA Hedderich, D Zhu, E van den Berg, D Klakow ICLR 2020 Workshop Pratical Machine Learning for Developing Countries Workshop, 2020 | 10* | 2020 |
| Chatbots Facilitating Consensus-Building in Asynchronous Co-Design J Shin, MA Hedderich, AS Lucero, A Oulasvirta Proceedings of the 35th Annual ACM Symposium on User Interface Software and …, 2022 | 8 | 2022 |
| Learning Functions to Study the Benefit of Multitask Learning G Bettgenhäuser, MA Hedderich, D Klakow arXiv preprint arXiv:2006.05561, 2020 | 6 | 2020 |
| Meta Self-Refinement for Robust Learning with Weak Supervision D Zhu, X Shen, MA Hedderich, D Klakow arXiv preprint arXiv:2205.07290, 2022 | 5 | 2022 |
| Label-Descriptive Patterns and Their Application to Characterizing Classification Errors MA Hedderich, J Fischer, D Klakow, J Vreeken International Conference on Machine Learning, 8691-8707, 2022 | 4 | 2022 |
| SparseIMU: Computational Design of Sparse IMU Layouts for Sensing Fine-Grained Finger Microgestures A Sharma, C Salchow-Hömmen, VS Mollyn, AS Nittala, MA Hedderich, ... ACM Transactions on Computer-Human Interaction 30 (3), 1-40, 2023 | 3 | 2023 |
| On the Correlation of Context-Aware Language Models with the Intelligibility of Polish Target Words to Czech Readers K Jágrová, M Hedderich, M Mosbach, T Avgustinova, D Klakow Frontiers in Psychology 12, 2296, 2021 | 1 | 2021 |
| Task-Adaptive Pre-Training for Boosting Learning With Noisy Labels: A Study on Text Classification for African Languages D Zhu, MA Hedderich, F Zhai, DI Adelani, D Klakow arXiv preprint arXiv:2206.01476, 2022 | | 2022 |
Dietrich KlakowSaarland University, Saarland Informatics CampusBestätigte E-Mail-Adresse bei lsv.uni-saarland.de
