Katrin Tomanek
Cited by
Cited by
Lingvo: a modular and scalable framework for sequence-to-sequence modeling
J Shen, P Nguyen, Y Wu, Z Chen, MX Chen, Y Jia, A Kannan, T Sainath, ...
arXiv preprint arXiv:1902.08295, 2019
Classical probabilistic models and conditional random fields
R Klinger, K Tomanek
TU, Algorithm Engineering, 2007
High-performance gene name normalization with GeNo
J Wermter, K Tomanek, U Hahn
Bioinformatics 25 (6), 815-821, 2009
Semi-supervised active learning for sequence labeling
K Tomanek, U Hahn
Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL …, 2009
An approach to text corpus construction which cuts annotation costs and maintains reusability of annotated data
K Tomanek, J Wermter, U Hahn
Proceedings of the 2007 Joint Conference on Empirical Methods in Natural …, 2007
Multi-task active learning for linguistic annotations
R Reichart, K Tomanek, U Hahn, A Rappoport
Proceedings of ACL-08: HLT, 861-869, 2008
An overview of JCoRe, the JULIE lab UIMA component repository
U Hahn, E Buyko, R Landefeld, M Mühlhausen, M Poprat, K Tomanek, ...
Proceedings of the LREC 8, 1-7, 2008
A web survey on the use of active learning to support annotation of text data
K Tomanek, F Olsson
Proceedings of the NAACL HLT 2009 workshop on active learning for natural …, 2009
Reducing class imbalance during active learning for named entity annotation
K Tomanek, U Hahn
Proceedings of the fifth international conference on Knowledge capture, 105-112, 2009
Sentence and token splitting based on conditional random fields
K Tomanek, J Wermter, U Hahn
Proceedings of the 10th Conference of the Pacific Association for …, 2007
A reappraisal of sentence and token splitting for life sciences documents
K Tomanek, J Wermter, U Hahn
Medinfo, 524-528, 2007
Disordered Speech Data Collection: Lessons Learned at 1 Million Utterances from Project Euphonia.
RL MacDonald, PP Jiang, J Cattiau, R Heywood, R Cave, K Seaver, ...
Interspeech 2021, 4833-4837, 2021
Automatic Speech Recognition of Disordered Speech: Personalized Models Outperforming Human Listeners on Short Phrases.
JR Green, RL MacDonald, PP Jiang, J Cattiau, R Heywood, R Cave, ...
Interspeech 2021, 4778-4782, 2021
A cognitive cost model of annotations based on eye-tracking data
K Tomanek, U Hahn, S Lohmann, J Ziegler
Proceedings of the 48th Annual Meeting of the Association for Computational …, 2010
Residual adapters for parameter-efficient ASR adaptation to atypical and accented speech
K Tomanek, V Zayats, D Padfield, K Vaillancourt, F Biadsy
arXiv preprint arXiv:2109.06952, 2021
Resolution of coordination ellipses in biological named entities using conditional random fields
E Buyko, K Tomanek, U Hahn
proceedings of the 10th Conference of the Pacific Association for …, 2007
An intrinsic stopping criterion for committee-based active learning
F Olsson, K Tomanek
Thirteenth Conference on Computational Natural Language Learning (CoNLL), 4 …, 2009
A comparison of models for cost-sensitive active learning
K Tomanek, U Hahn
Coling 2010: Posters, 1247-1255, 2010
The calbc silver standard corpus for biomedical named entities-a study in harmonizing the contributions from four independent named entity taggers
D Rebholz-Schuhmann, AJ Jimeno-Yepes, E van Mulligen, N Kang, ...
An annotation type system for a data-driven NLP pipeline
U Hahn, E Buyko, K Tomanek, SSL Piao, J McNaught, Y Tsuruoka, ...
Proceedings of the Linguistic Annotation Workshop, 33-40, 2007
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