Michael A. Hedderich
Orcid: 0000-0001-6858-0791
According to our database1,
Michael A. Hedderich
authored at least 24 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
A Piece of Theatre: Investigating How Teachers Design LLM Chatbots to Assist Adolescent Cyberbullying Education.
CoRR, 2024
2023
SparseIMU: Computational Design of Sparse IMU Layouts for Sensing Fine-grained Finger Microgestures.
ACM Trans. Comput. Hum. Interact., 2023
Understanding and Mitigating Classification Errors Through Interpretable Token Patterns.
CoRR, 2023
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023
2022
Weak supervision and label noise handling for Natural language processing in low-resource scenarios.
PhD thesis, 2022
Task-Adaptive Pre-Training for Boosting Learning With Noisy Labels: A Study on Text Classification for African Languages.
CoRR, 2022
Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology, 2022
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
Label-Descriptive Patterns and Their Application to Characterizing Classification Errors.
Proceedings of the International Conference on Machine Learning, 2022
Is BERT Robust to Label Noise? A Study on Learning with Noisy Labels in Text Classification.
Proceedings of the Third Workshop on Insights from Negative Results in NLP, 2022
2021
A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Estimating Formulas for Model Performance Under Noisy Labels Using Symbolic Regression.
Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Distant Supervision and Noisy Label Learning for Low Resource Named Entity Recognition: A Study on Hausa and Yorùbá.
Proceedings of the 1st AfricaNLP Workshop Proceedings, 2020
Transfer Learning and Distant Supervision for Multilingual Transformer Models: A Study on African Languages.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
On the Interplay Between Fine-tuning and Sentence-Level Probing for Linguistic Knowledge in Pre-Trained Transformers.
Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2020
2019
Handling Noisy Labels for Robustly Learning from Self-Training Data for Low-Resource Sequence Labeling.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019
Proceedings of the 13th International Conference on Computational Semantics, 2019
Feature-Dependent Confusion Matrices for Low-Resource NER Labeling with Noisy Labels.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
2018
Training a Neural Network in a Low-Resource Setting on Automatically Annotated Noisy Data.
Proceedings of the Workshop on Deep Learning Approaches for Low-Resource NLP, 2018