| 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 | 74 | 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 | 26 | 2018 |
| 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 | 21 | 2020 |
| 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 | 14 | 2020 |
| 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 | 13 | 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 | 12 | 2019 |
| 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 | 11 | 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 | 7 | 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 | 6* | 2020 |
| Learning Functions to Study the Benefit of Multitask Learning G Bettgenhäuser, MA Hedderich, D Klakow arXiv preprint arXiv:2006.05561, 2020 | 5 | 2020 |
| 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 | 4 | 2021 |
| MCSE: Multimodal Contrastive Learning of Sentence Embeddings M Zhang, M Mosbach, DI Adelani, MA Hedderich, D Klakow arXiv preprint arXiv:2204.10931, 2022 | 1 | 2022 |
| 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 |
| Meta Self-Refinement for Robust Learning with Weak Supervision D Zhu, X Shen, MA Hedderich, D Klakow arXiv preprint arXiv:2205.07290, 2022 | | 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 | | 2022 |
| Label-Descriptive Patterns and their Application to Characterizing Classification Errors M Hedderich, J Fischer, D Klakow, J Vreeken arXiv preprint arXiv:2110.09599, 2021 | | 2021 |
| Proceedings of the First Workshop on Weakly Supervised Learning (WeaSuL) MA Hedderich, B Roth, K Kann, B Plank, A Ratner, D Klakow arXiv preprint arXiv:2107.03690, 2021 | | 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 | | 2021 |
| Proceedings of the Third Workshop on Beyond Vision and LANguage: inTEgrating Real-world kNowledge (LANTERN) M Mosbach, MA Hedderich, S Pezzelle, A Mogadala, D Klakow, ... Proceedings of the Third Workshop on Beyond Vision and LANguage: inTEgrating …, 2021 | | 2021 |
| Estimating Formulas for Model Performance Under Noisy Labels Using Symbolic Regression. FS Khoo, D Zhu, MA Hedderich, D Klakow ESANN, 2021 | | 2021 |
Dietrich KlakowSaarland University, Saarland Informatics CampusBestätigte E-Mail-Adresse bei lsv.uni-saarland.de
