default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDMichael A. Hedderich
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[c19]Joongi Shin
, Michael A. Hedderich, Bartlomiej Jakub Rey, Andrés Lucero, Antti Oulasvirta:
Understanding Human-AI Workflows for Generating Personas. Conference on Designing Interactive Systems 2024- [c18]Michael A. Hedderich, Natalie N. Bazarova, Wenting Zou, Ryun Shim, Xinda Ma, Qian Yang:
A Piece of Theatre: Investigating How Teachers Design LLM Chatbots to Assist Adolescent Cyberbullying Education. CHI 2024: 668:1-668:17 - [i19]Michael A. Hedderich, Natalie N. Bazarova, Wenting Zou, Ryun Shim, Xinda Ma, Qian Yang:
A Piece of Theatre: Investigating How Teachers Design LLM Chatbots to Assist Adolescent Cyberbullying Education. CoRR abs/2402.17456 (2024) - [i18]Bolei Ma, Xinpeng Wang, Tiancheng Hu, Anna-Carolina Haensch, Michael A. Hedderich, Barbara Plank, Frauke Kreuter:
The Potential and Challenges of Evaluating Attitudes, Opinions, and Values in Large Language Models. CoRR abs/2406.11096 (2024) - 2023
- [j1]Adwait Sharma, Christina Salchow-Hömmen, Vimal Suresh Mollyn, Aditya Shekhar Nittala, Michael A. Hedderich, Marion Koelle, Thomas Seel, Jürgen Steimle:
SparseIMU: Computational Design of Sparse IMU Layouts for Sensing Fine-grained Finger Microgestures. ACM Trans. Comput. Hum. Interact. 30(3): 39:1-39:40 (2023) - [c17]Dawei Zhu, Xiaoyu Shen, Michael A. Hedderich, Dietrich Klakow:
Meta Self-Refinement for Robust Learning with Weak Supervision. EACL 2023: 1043-1058 - [i17]Michael A. Hedderich, Jonas Fischer, Dietrich Klakow, Jilles Vreeken:
Understanding and Mitigating Classification Errors Through Interpretable Token Patterns. CoRR abs/2311.10920 (2023) - 2022
- [b1]Michael A. Hedderich:
Weak supervision and label noise handling for Natural language processing in low-resource scenarios. Saarland University, Saarbrücken, Germany, 2022 - [c16]Dawei Zhu, Michael A. Hedderich, Fangzhou Zhai, David Ifeoluwa Adelani, Dietrich Klakow:
Is BERT Robust to Label Noise? A Study on Learning with Noisy Labels in Text Classification. Insights@ACL 2022: 62-67 - [c15]Michael A. Hedderich, Jonas Fischer, Dietrich Klakow, Jilles Vreeken:
Label-Descriptive Patterns and Their Application to Characterizing Classification Errors. ICML 2022: 8691-8707 - [c14]Miaoran Zhang, Marius Mosbach, David Ifeoluwa Adelani, Michael A. Hedderich, Dietrich Klakow:
MCSE: Multimodal Contrastive Learning of Sentence Embeddings. NAACL-HLT 2022: 5959-5969 - [c13]Joongi Shin, Michael A. Hedderich, Andrés Lucero, Antti Oulasvirta:
Chatbots Facilitating Consensus-Building in Asynchronous Co-Design. UIST 2022: 78:1-78:13 - [i16]Dawei Zhu, Michael A. Hedderich, Fangzhou Zhai, David Ifeoluwa Adelani, Dietrich Klakow:
Is BERT Robust to Label Noise? A Study on Learning with Noisy Labels in Text Classification. CoRR abs/2204.09371 (2022) - [i15]Miaoran Zhang, Marius Mosbach, David Ifeoluwa Adelani, Michael A. Hedderich, Dietrich Klakow:
MCSE: Multimodal Contrastive Learning of Sentence Embeddings. CoRR abs/2204.10931 (2022) - [i14]Dawei Zhu, Xiaoyu Shen, Michael A. Hedderich, Dietrich Klakow:
Meta Self-Refinement for Robust Learning with Weak Supervision. CoRR abs/2205.07290 (2022) - [i13]Dawei Zhu, Michael A. Hedderich, Fangzhou Zhai, David Ifeoluwa Adelani, Dietrich Klakow:
Task-Adaptive Pre-Training for Boosting Learning With Noisy Labels: A Study on Text Classification for African Languages. CoRR abs/2206.01476 (2022) - 2021
- [c12]Michael A. Hedderich, Dawei Zhu, Dietrich Klakow:
Analysing the Noise Model Error for Realistic Noisy Label Data. AAAI 2021: 7675-7684 - [c11]Adwait Sharma, Michael A. Hedderich, Divyanshu Bhardwaj, Bruno Fruchard, Jess McIntosh, Aditya Shekhar Nittala, Dietrich Klakow, Daniel Ashbrook, Jürgen Steimle:
SoloFinger: Robust Microgestures while Grasping Everyday Objects. CHI 2021: 744:1-744:15 - [c10]Fech Scen Khoo, Dawei Zhu, Michael A. Hedderich, Dietrich Klakow:
Estimating Formulas for Model Performance Under Noisy Labels Using Symbolic Regression. ESANN 2021 - [c9]Michael A. Hedderich, Lukas Lange, Heike Adel, Jannik Strötgen, Dietrich Klakow:
A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios. NAACL-HLT 2021: 2545-2568 - [i12]Michael A. Hedderich, Dawei Zhu, Dietrich Klakow:
Analysing the Noise Model Error for Realistic Noisy Label Data. CoRR abs/2101.09763 (2021) - [i11]Michael A. Hedderich, Lukas Lange, Dietrich Klakow:
ANEA: Distant Supervision for Low-Resource Named Entity Recognition. CoRR abs/2102.13129 (2021) - [i10]Michael A. Hedderich, Benjamin Roth, Katharina Kann, Barbara Plank, Alex Ratner, Dietrich Klakow:
Proceedings of the First Workshop on Weakly Supervised Learning (WeaSuL). CoRR abs/2107.03690 (2021) - [i9]Michael A. Hedderich, Jonas Fischer, Dietrich Klakow, Jilles Vreeken:
Label-Descriptive Patterns and their Application to Characterizing Classification Errors. CoRR abs/2110.09599 (2021) - 2020
- [c8]Marius Mosbach, Anna Khokhlova, Michael A. Hedderich, Dietrich Klakow:
On the Interplay Between Fine-tuning and Sentence-Level Probing for Linguistic Knowledge in Pre-Trained Transformers. BlackboxNLP@EMNLP 2020: 68-82 - [c7]Marius Mosbach, Anna Khokhlova, Michael A. Hedderich, Dietrich Klakow:
On the Interplay Between Fine-tuning and Sentence-Level Probing for Linguistic Knowledge in Pre-Trained Transformers. EMNLP (Findings) 2020: 2502-2516 - [c6]Michael A. Hedderich, David Ifeoluwa Adelani, Dawei Zhu, Jesujoba O. Alabi, Udia Markus, Dietrich Klakow:
Transfer Learning and Distant Supervision for Multilingual Transformer Models: A Study on African Languages. EMNLP (1) 2020: 2580-2591 - [c5]David Ifeoluwa Adelani, Michael A. Hedderich, Dawei Zhu, Esther van den Berg, Dietrich Klakow:
Distant Supervision and Noisy Label Learning for Low Resource Named Entity Recognition: A Study on Hausa and Yorùbá. AfricaNLP 2020 - [i8]Gabriele Bettgenhäuser, Michael A. Hedderich, Dietrich Klakow:
Learning Functions to Study the Benefit of Multitask Learning. CoRR abs/2006.05561 (2020) - [i7]Marius Mosbach, Anna Khokhlova, Michael A. Hedderich, Dietrich Klakow:
On the Interplay Between Fine-tuning and Sentence-level Probing for Linguistic Knowledge in Pre-trained Transformers. CoRR abs/2010.02616 (2020) - [i6]Michael A. Hedderich, David Ifeoluwa Adelani, Dawei Zhu, Jesujoba O. Alabi, Udia Markus, Dietrich Klakow:
Transfer Learning and Distant Supervision for Multilingual Transformer Models: A Study on African Languages. CoRR abs/2010.03179 (2020) - [i5]Michael A. Hedderich, Lukas Lange, Heike Adel, Jannik Strötgen, Dietrich Klakow:
A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios. CoRR abs/2010.12309 (2020)
2010 – 2019
- 2019
- [c4]Lukas Lange, Michael A. Hedderich, Dietrich Klakow:
Feature-Dependent Confusion Matrices for Low-Resource NER Labeling with Noisy Labels. EMNLP/IJCNLP (1) 2019: 3552-3557 - [c3]Michael A. Hedderich, Andrew Yates, Dietrich Klakow, Gerard de Melo:
Using Multi-Sense Vector Embeddings for Reverse Dictionaries. IWCS (1) 2019: 247-258 - [c2]Debjit Paul, Mittul Singh, Michael A. Hedderich, Dietrich Klakow:
Handling Noisy Labels for Robustly Learning from Self-Training Data for Low-Resource Sequence Labeling. NAACL-HLT (Student Research Workshop) 2019: 29-34 - [i4]Debjit Paul, Mittul Singh, Michael A. Hedderich, Dietrich Klakow:
Handling Noisy Labels for Robustly Learning from Self-Training Data for Low-Resource Sequence Labeling. CoRR abs/1903.12008 (2019) - [i3]Michael A. Hedderich, Andrew Yates, Dietrich Klakow, Gerard de Melo:
Using Multi-Sense Vector Embeddings for Reverse Dictionaries. CoRR abs/1904.01451 (2019) - [i2]Lukas Lange, Michael A. Hedderich, Dietrich Klakow:
Feature-Dependent Confusion Matrices for Low-Resource NER Labeling with Noisy Labels. CoRR abs/1910.06061 (2019) - 2018
- [c1]Michael A. Hedderich, Dietrich Klakow:
Training a Neural Network in a Low-Resource Setting on Automatically Annotated Noisy Data. DeepLo@ACL 2018: 12-18 - [i1]Michael A. Hedderich, Dietrich Klakow:
Training a Neural Network in a Low-Resource Setting on Automatically Annotated Noisy Data. CoRR abs/1807.00745 (2018)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-07-19 19:14 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
