Michael A. Hedderich

发表

Analysing the Noise Model Error for Realistic Noisy Label Data

Dietrich Klakow, Dawei Zhu, Michael A. Hedderich, 2021, AAAI.

Using Multi-Sense Vector Embeddings for Reverse Dictionaries pdf

Dietrich Klakow, Gerard de Melo, Andrew Yates, 2019, IWCS.

Training a Neural Network in a Low-Resource Setting on Automatically Annotated Noisy Data pdf

Dietrich Klakow, Michael A. Hedderich, 2018, DeepLo@ACL.

Feature-Dependent Confusion Matrices for Low-Resource NER Labeling with Noisy Labels

Dietrich Klakow, Lukas Lange, Michael A. Hedderich, 2019, EMNLP.

Handling Noisy Labels for Robustly Learning from Self-Training Data for Low-Resource Sequence Labeling

Dietrich Klakow, Mittul Singh, Michael A. Hedderich, 2019, NAACL.

Transfer Learning and Distant Supervision for Multilingual Transformer Models: A Study on African Languages pdf

Dietrich Klakow, David Ifeoluwa Adelani, Dawei Zhu, 2020, EMNLP.

On the Interplay Between Fine-tuning and Sentence-Level Probing for Linguistic Knowledge in Pre-Trained Transformers

Marius Mosbach, Dietrich Klakow, Michael A. Hedderich, 2020, BLACKBOXNLP.

A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios pdf

Heike Adel, Dietrich Klakow, Lukas Lange, 2020, NAACL.

Distant Supervision and Noisy Label Learning for Low Resource Named Entity Recognition: A Study on Hausa and Yorùbá pdf

Dietrich Klakow, David Ifeoluwa Adelani, Dawei Zhu, 2020, ArXiv.

Learning Functions to Study the Benefit of Multitask Learning pdf

Dietrich Klakow, Michael A. Hedderich, Gabriele Bettgenhauser, 2020, ArXiv.

Analysing the Noise Model Error for Realistic Noisy Label Data

Dietrich Klakow, Dawei Zhu, Michael A. Hedderich, 2021, AAAI.

ANEA: Distant Supervision for Low-Resource Named Entity Recognition pdf

Dietrich Klakow, Lukas Lange, Michael A. Hedderich, 2021, ArXiv.

Proceedings of the First Workshop on Weakly Supervised Learning (WeaSuL) pdf

Dietrich Klakow, Katharina Kann, Barbara Plank, 2021, ArXiv.

SoloFinger: Robust Microgestures while Grasping Everyday Objects

Dietrich Klakow, Jürgen Steimle, Daniel Ashbrook, 2021, CHI.

Estimating Formulas for Model Performance Under Noisy Labels Using Symbolic Regression

Dietrich Klakow, Michael A. Hedderich, Dawei Zhu, 2021, ESANN 2021 proceedings.

Label-Descriptive Patterns and their Application to Characterizing Classification Errors

Michael A. Hedderich, D. Klakow, Jilles Vreeken, 2021, ICML.

SparseIMU: Computational Design of Sparse IMU Layouts for Sensing Fine-Grained Finger Microgestures

Michael A. Hedderich, Jürgen Steimle, T. Seel, 2022, ACM Transactions on Computer-Human Interaction.

Meta Self-Refinement for Robust Learning with Weak Supervision

Michael A. Hedderich, D. Klakow, D. Zhu, 2022, EACL.

Chatbots Facilitating Consensus-Building in Asynchronous Co-Design

Michael A. Hedderich, A. Lucero, A. Oulasvirta, 2022, ACM Symposium on User Interface Software and Technology.

SparseIMU: Computational Design of Sparse IMU Layouts for Sensing Fine-grained Finger Microgestures

Michael A. Hedderich, Jürgen Steimle, T. Seel, 2022, ACM Trans. Comput. Hum. Interact..

Is BERT Robust to Label Noise? A Study on Learning with Noisy Labels in Text Classification

David Ifeoluwa Adelani, Michael A. Hedderich, D. Klakow, 2022, INSIGHTS.

ANEA: Distant Supervision for Low-Resource Named Entity Recognition

Michael A. Hedderich, D. Klakow, Lukas Lange, 2021, arXiv.org.

MCSE: Multimodal Contrastive Learning of Sentence Embeddings

David Ifeoluwa Adelani, Michael A. Hedderich, D. Klakow, 2022, NAACL.

On the Correlation of Context-Aware Language Models With the Intelligibility of Polish Target Words to Czech Readers

Michael A. Hedderich, D. Klakow, Marius Mosbach, 2021, Frontiers in Psychology.

On the Interplay Between Fine-tuning and Sentence-Level Probing for Linguistic Knowledge in Pre-Trained Transformers

Marius Mosbach, Dietrich Klakow, Michael A. Hedderich, 2020, BLACKBOXNLP.

Task-Adaptive Pre-Training for Boosting Learning With Noisy Labels: A Study on Text Classification for African Languages

David Ifeoluwa Adelani, Michael A. Hedderich, D. Klakow, 2022, arXiv.org.

Learning Functions to Study the Benefit of Multitask Learning

Michael A. Hedderich, D. Klakow, Gabriele Bettgenhauser, 2020, ArXiv.

An exploration of knowledge‐organizing technologies to advance transdisciplinary back pain research

Glen E. P. Ropella, Michael A. Hedderich, Jeffrey C. Lotz, 2023, JOR spine.

A Piece of Theatre: Investigating How Teachers Design LLM Chatbots to Assist Adolescent Cyberbullying Education

Michael A. Hedderich, Natalie N. Bazarova, Qian Yang, 2024, CHI.