← Authors

Katrin Tomanek

19 papers · 2007–2026 · 9 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (8) πŸƒ Academic Marathon (17) 🐝 Cross-Pollinator (13) 🌈 Renaissance Researcher (6) πŸ—ΊοΈ Taxonomy Completionist (25) πŸ’Ž Century Club (18)

Conferences

ACL (4) INTERSPEECH (4) EMNLP (3) COLING (2) CONLL (2) EACL (1) IJCNLP (1) NAACL (1) SEMEVAL (1)

Top co-authors

Udo Hahn (7) Nithum Thain (4) Lucas Dixon (4) Jimmy Tobin (4) Michael P. Brenner (3) Richard Cave (3) Rus Heywood (3) Jordan R. Green (3) Pan-Pan Jiang (3) Katie Seaver (3)

Keywords

text classification (3) disordered speech (3) few-shot learning (3) automatic speech recognition (3) prompt tuning (2) parameter-efficient tuning (2) text generation (2) speech recognition (2) speech corpus (2) data annotation (2) large language model (2) convolutional neural network (1) speech intelligibility (1) language model (1) domain adaptation (1) representation learning (1) pre-trained language model (1) content moderation (1) annotation cost (1) parameter efficient fine-tuning (1)

Papers

Reassessing Active Learning Adoption in Contemporary NLP: A Community Survey EACL 2026
Learnings from curating a trustworthy, well-annotated, and useful dataset of disordered English speech INTERSPEECH 2024
Detecting Hallucination and Coverage Errors in Retrieval Augmented Generation for Controversial Topics COLING 2024
JUAGE at SemEval-2023 Task 10: Parameter Efficient Classification ACL 2023
JUAGE at SemEval-2023 Task 10: Parameter Efficient Classification SEMEVAL 2023
Towards Agile Text Classifiers for Everyone EMNLP 2023
Context-Aware Abbreviation Expansion Using Large Language Models NAACL 2022
Residual Adapters for Parameter-Efficient ASR Adaptation to Atypical and Accented Speech EMNLP 2021
Automatic Speech Recognition of Disordered Speech: Personalized Models Outperforming Human Listeners on Short Phrases INTERSPEECH 2021
Disordered Speech Data Collection: Lessons Learned at 1 Million Utterances from Project Euphonia INTERSPEECH 2021
Comparing Supervised Models and Learned Speech Representations for Classifying Intelligibility of Disordered Speech on Selected Phrases INTERSPEECH 2021
A Cognitive Cost Model of Annotations Based on Eye-Tracking Data ACL 2010
A Comparison of Models for Cost-Sensitive Active Learning COLING 2010
Semi-Supervised Active Learning for Sequence Labeling IJCNLP 2009
Semi-Supervised Active Learning for Sequence Labeling ACL 2009
An Intrinsic Stopping Criterion for Committee-Based Active Learning CONLL 2009
Multi-Task Active Learning for Linguistic Annotations ACL 2008
An Approach to Text Corpus Construction which Cuts Annotation Costs and Maintains Reusability of Annotated Data EMNLP 2007
An Approach to Text Corpus Construction which Cuts Annotation Costs and Maintains Reusability of Annotated Data CONLL 2007