Katrin Tomanek
19 papers · 2007–2026 · 9 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (8) π Academic Marathon (17)
π
Cross-Pollinator
(13)
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Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(25)
π
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
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