Mark Cieliebak
Zitiert von
Zitiert von
Survey on evaluation methods for dialogue systems
J Deriu, A Rodrigo, A Otegi, G Echegoyen, S Rosset, E Agirre, ...
Artificial Intelligence Review 54, 755-810, 2021
Distributed computing by mobile robots: Gathering
M Cieliebak, P Flocchini, G Prencipe, N Santoro
SIAM Journal on Computing 41 (4), 829-879, 2012
Solving the robots gathering problem
M Cieliebak, P Flocchini, G Prencipe, N Santoro
Automata, Languages and Programming: 30th International Colloquium, ICALP …, 2003
Leveraging large amounts of weakly supervised data for multi-language sentiment classification
J Deriu, A Lucchi, V De Luca, A Severyn, S Müller, M Cieliebak, ...
Proceedings of the 26th international conference on world wide web, 1045-1052, 2017
AUDENS: a tool for automated peptide de novo sequencing
J Grossmann, FF Roos, M Cieliebak, Z Lipták, LK Mathis, M Müller, ...
Journal of proteome research 4 (5), 1768-1774, 2005
A twitter corpus and benchmark resources for german sentiment analysis
M Cieliebak, JM Deriu, D Egger, F Uzdilli
5th International Workshop on Natural Language Processing for Social Media …, 2017
Gathering Autonomous Mobile Robots.
M Cieliebak, G Prencipe
SIROCCO 9, 57-72, 2002
LEDGAR: A large-scale multi-label corpus for text classification of legal provisions in contracts
D Tuggener, P Von Däniken, T Peetz, M Cieliebak
Proceedings of the twelfth language resources and evaluation conference …, 2020
Scheduling with release times and deadlines on a minimum number of machines
M Cieliebak, T Erlebach, F Hennecke, B Weber, P Widmayer
Exploring New Frontiers of Theoretical Informatics: IFIP 18th World Computer …, 2004
Gathering non-oblivious mobile robots
M Cieliebak
LATIN 2004: Theoretical Informatics: 6th Latin American Symposium, Buenos …, 2004
Transfer learning and sentence level features for named entity recognition on tweets
P Von Däniken, M Cieliebak
3rd Workshop on Noisy User-generated Text (W-NUT), Copenhagen, Denmark, 7 …, 2017
DoQA--Accessing Domain-Specific FAQs via Conversational QA
JA Campos, A Otegi, A Soroa, J Deriu, M Cieliebak, E Agirre
arXiv preprint arXiv:2005.01328, 2020
Fully convolutional neural networks for newspaper article segmentation
B Meier, T Stadelmann, J Stampfli, M Arnold, M Cieliebak
2017 14th IAPR International conference on document analysis and recognition …, 2017
Noisy data make the partial digest problem NP-hard
M Cieliebak, S Eidenbenz, P Penna
International Workshop on Algorithms in Bioinformatics, 111-123, 2003
Spot the bot: A robust and efficient framework for the evaluation of conversational dialogue systems
J Deriu, D Tuggener, P Von Däniken, JA Campos, A Rodrigo, T Belkacem, ...
arXiv preprint arXiv:2010.02140, 2020
On the Complexity of Variations of Equal Sum Subsets.
M Cieliebak, SJ Eidenbenz, A Pagourtzis, K Schlude
Nord. J. Comput. 14 (3), 151-172, 2008
Potential and Limitations of Commercial Sentiment Detection Tools.
M Cieliebak, O Dürr, F Uzdilli
ESSEM@ AI* IA, 47-58, 2013
Algorithmic complexity of protein identification: Combinatorics of weighted strings
M Cieliebak, T Erlebach, Z Lipták, J Stoye, E Welzl
Discrete Applied Mathematics 137 (1), 27-46, 2004
Missing information, unresponsive authors, experimental flaws: The impossibility of assessing the reproducibility of previous human evaluations in NLP
A Belz, C Thomson, E Reiter, G Abercrombie, JM Alonso-Moral, M Arvan, ...
arXiv preprint arXiv:2305.01633, 2023
Measurement errors make the partial digest problem NP-hard
M Cieliebak, S Eidenbenz
Latin American Symposium on Theoretical Informatics, 379-390, 2004
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