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Mark Cieliebak
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2020 – today
- 2024
- [c65]Pius von Däniken, Jan Deriu, Don Tuggener, Mark Cieliebak:
Favi-Score: A Measure for Favoritism in Automated Preference Ratings for Generative AI Evaluation. ACL (1) 2024: 4437-4454 - [c64]Janick Michot, Manuela Hürlimann, Jan Deriu, Luzia Sauer, Katsiaryna Mlynchyk, Mark Cieliebak:
Error-preserving Automatic Speech Recognition of Young English Learners' Language. ACL (1) 2024: 6444-6454 - [c63]Pius von Däniken, Jan Milan Deriu, Álvaro Rodrigo, Mark Cieliebak:
Improving Quantification with Minimal In-Domain Annotations: Beyond Classify and Count. ICWSM 2024: 1585-1598 - [i24]Pius von Däniken, Jan Deriu, Don Tuggener, Mark Cieliebak:
Favi-Score: A Measure for Favoritism in Automated Preference Ratings for Generative AI Evaluation. CoRR abs/2406.01131 (2024) - [i23]Janick Michot, Manuela Hürlimann, Jan Deriu, Luzia Sauer, Katsiaryna Mlynchyk, Mark Cieliebak:
Error-preserving Automatic Speech Recognition of Young English Learners' Language. CoRR abs/2406.03235 (2024) - [i22]Pius von Däniken, Jan Deriu, Mark Cieliebak:
A Measure of the System Dependence of Automated Metrics. CoRR abs/2412.03152 (2024) - [i21]Jan Deriu, Mark Cieliebak:
A Unified Model for Automated Evaluation of Text Generation Systems. ERCIM News 2024(136) (2024) - 2023
- [c62]Michel Plüss, Jan Deriu, Yanick Schraner, Claudio Paonessa, Julia Hartmann, Larissa Schmidt, Christian Scheller, Manuela Hürlimann, Tanja Samardzic
, Manfred Vogel, Mark Cieliebak
STT4SG-350: A Speech Corpus for All Swiss German Dialect Regions. ACL (2) 2023: 1763-1772 - [c61]Jan Deriu, Pius von Däniken, Don Tuggener, Mark Cieliebak
Correction of Errors in Preference Ratings from Automated Metrics for Text Generation. ACL (Findings) 2023: 6456-6474 - [c60]Pius von Däniken, Jan Deriu, Mark Cieliebak:
ZHAW-CAI at CheckThat!-2023: Ensembling using Kernel Averaging. CLEF (Working Notes) 2023: 534-545 - [c59]Claudio Paonessa, Yanick Schraner, Jan Deriu, Manuela Hürlimann, Manfred Vogel, Mark Cieliebak:
Dialect Transfer for Swiss German Speech Translation. EMNLP (Findings) 2023: 15240-15254 - [e5]Manuela Hürlimann, Roberto Mastropietro, Daniele Puccinelli, Fabio Rinaldi, Mark Cieliebak:
Proceedings of the Swiss Text Analytics Conference 2022, Lugano, Switzerland, June 8-10, 2022. CEUR Workshop Proceedings 3361, CEUR-WS.org 2023 [contents] - [i20]Anya Belz
Missing Information, Unresponsive Authors, Experimental Flaws: The Impossibility of Assessing the Reproducibility of Previous Human Evaluations in NLP. CoRR abs/2305.01633 (2023) - [i19]Michel Plüss, Jan Deriu, Yanick Schraner, Claudio Paonessa, Julia Hartmann, Larissa Schmidt, Christian Scheller, Manuela Hürlimann, Tanja Samardzic, Manfred Vogel, Mark Cieliebak:
STT4SG-350: A Speech Corpus for All Swiss German Dialect Regions. CoRR abs/2305.18855 (2023) - [i18]Jan Deriu, Pius von Däniken, Don Tuggener, Mark Cieliebak:
Correction of Errors in Preference Ratings from Automated Metrics for Text Generation. CoRR abs/2306.03866 (2023) - [i17]Claudio Paonessa, Yanick Schraner, Jan Deriu, Manuela Hürlimann, Manfred Vogel, Mark Cieliebak:
Dialect Transfer for Swiss German Speech Translation. CoRR abs/2310.09088 (2023) - 2022
- [c58]Jan Deriu
Probing the Robustness of Trained Metrics for Conversational Dialogue Systems. ACL (2) 2022: 750-761 - [c57]Pius von Däniken, Jan Deriu
On the Effectiveness of Automated Metrics for Text Generation Systems. EMNLP (Findings) 2022: 1503-1522 - [c56]Pius von Däniken, Jan Deriu, Eneko Agirre, Ursin Brunner, Mark Cieliebak, Kurt Stockinger:
Improving NL-to-Query Systems through Re-ranking of Semantic Hypothesis. ICNLSP 2022: 57-67 - [c55]Michel Plüss, Manuela Hürlimann, Marc Cuny, Alla Stöckli, Nikolaos Kapotis, Julia Hartmann, Malgorzata Anna Ulasik, Christian Scheller, Yanick Schraner, Amit Jain, Jan Deriu, Mark Cieliebak, Manfred Vogel:
SDS-200: A Swiss German Speech to Standard German Text Corpus. LREC 2022: 3250-3256 - [c54]Bohan Wang, Ke Wang, Siran Li, Mark Cieliebak:
Detection of Typical Sentence Errors in Speech Recognition Output. SwissText 2022: 1-5 - [c53]Pius von Däniken, Manuela Hürlimann, Mark Cieliebak:
GSWNORM 2022 - Shared Task on Text Normalization for Swiss German (Abstract). SwissText 2022: 43 - [i16]Jan Deriu, Don Tuggener, Pius von Däniken, Mark Cieliebak:
Probing the Robustness of Trained Metrics for Conversational Dialogue Systems. CoRR abs/2202.13887 (2022) - [i15]Michel Plüss, Manuela Hürlimann, Marc Cuny, Alla Stöckli, Nikolaos Kapotis, Julia Hartmann, Malgorzata Anna Ulasik, Christian Scheller, Yanick Schraner, Amit Jain, Jan Deriu, Mark Cieliebak, Manfred Vogel:
SDS-200: A Swiss German Speech to Standard German Text Corpus. CoRR abs/2205.09501 (2022) - [i14]Pius von Däniken, Jan Deriu, Don Tuggener, Mark Cieliebak:
On the Effectiveness of Automated Metrics for Text Generation Systems. CoRR abs/2210.13025 (2022) - [i13]Manuela Hürlimann, Jolanda Galbier, Mark Cieliebak:
Speech-to-Text Technology for Hard-of-Hearing People. ERCIM News 2022(130) (2022) - 2021
- [j9]Jan Deriu
Survey on evaluation methods for dialogue systems. Artif. Intell. Rev. 54(1): 755-810 (2021) - [c52]Malgorzata Anna Ulasik, Manuela Hürlimann, Bogumila Dubel, Yves Kaufmann, Silas Rudolf, Jan Deriu, Katsiaryna Mlynchyk, Hans-Peter Hutter, Mark Cieliebak:
ZHAW-CAI: Ensemble Method for Swiss German Speech to Standard German Text (short paper). SwissText 2021 - [e4]Fernando Benites, Don Tuggener, Manuela Hürlimann, Mark Cieliebak, Manfred Vogel:
Proceedings of the Swiss Text Analytics Conference 2021, Winterthur, Switzerland, June 14-16, 2021 (held online due to COVID19 pandemic). CEUR Workshop Proceedings 2957, CEUR-WS.org 2021 [contents] - 2020
- [c51]Jan Deriu
A Methodology for Creating Question Answering Corpora Using Inverse Data Annotation. ACL 2020: 897-911 - [c50]Jon Ander Campos, Arantxa Otegi
DoQA - Accessing Domain-Specific FAQs via Conversational QA. ACL 2020: 7302-7314 - [c49]Ahmad Aghaebrahimian
Named Entity Disambiguation at Scale. ANNPR 2020: 102-110 - [c48]Jan Deriu
Spot The Bot: A Robust and Efficient Framework for the Evaluation of Conversational Dialogue Systems. EMNLP (1) 2020: 3971-3984 - [c47]Don Tuggener, Pius von Däniken, Thomas Peetz, Mark Cieliebak:
LEDGAR: A Large-Scale Multi-label Corpus for Text Classification of Legal Provisions in Contracts. LREC 2020: 1235-1241 - [c46]Fernando Benites, Gilbert François Duivesteijn, Pius von Däniken, Mark Cieliebak:
TRANSLIT: A Large-scale Name Transliteration Resource. LREC 2020: 3265-3271 - [c45]Malgorzata Anna Ulasik, Manuela Hürlimann, Fabian Germann, Esin Gedik, Fernando Benites, Mark Cieliebak:
CEASR: A Corpus for Evaluating Automatic Speech Recognition. LREC 2020: 6477-6485 - [c44]Matthias Büchi, Malgorzata Anna Ulasik, Manuela Hürlimann, Fernando Benites, Pius von Däniken, Mark Cieliebak:
ZHAW-InIT at GermEval 2020 Task 4: Low-Resource Speech-to-Text. SwissText/KONVENS 2020 - [c43]Pius von Däniken, Manuela Hürlimann, Mark Cieliebak:
Overview of the GermEval 2020 Shared Task on Swiss German Language Identification. SwissText/KONVENS 2020 - [c42]Fernando Benites, Manuela Hürlimann, Pius von Däniken, Mark Cieliebak:
ZHAW-InIT - Social Media Geolocation at VarDial 2020. VarDial@COLING 2020: 254-264 - [e3]Sarah Ebling, Don Tuggener, Manuela Hürlimann, Mark Cieliebak, Martin Volk:
Proceedings of the 5th Swiss Text Analytics Conference and the 16th Conference on Natural Language Processing, SwissText/KONVENS 2020, Zurich, Switzerland, June 23-25, 2020 [online only]. CEUR Workshop Proceedings 2624, CEUR-WS.org 2020 [contents] - [i12]Jan Deriu, Katsiaryna Mlynchyk, Philippe Schläpfer, Álvaro Rodrigo, Dirk Von Grünigen, Nicolas Kaiser, Kurt Stockinger, Eneko Agirre, Mark Cieliebak:
A Methodology for Creating Question Answering Corpora Using Inverse Data Annotation. CoRR abs/2004.07633 (2020) - [i11]Jon Ander Campos, Arantxa Otegi, Aitor Soroa, Jan Deriu, Mark Cieliebak, Eneko Agirre:
DoQA - Accessing Domain-Specific FAQs via Conversational QA. CoRR abs/2005.01328 (2020) - [i10]Jan Deriu, Don Tuggener, Pius von Däniken, Jon Ander Campos, Álvaro Rodrigo, Thiziri Belkacem, Aitor Soroa, Eneko Agirre, Mark Cieliebak:
Spot The Bot: A Robust and Efficient Framework for the Evaluation of Conversational Dialogue Systems. CoRR abs/2010.02140 (2020)
2010 – 2019
- 2019
- [j8]Eneko Agirre, Arantxa Otegi, Camille Pradel, Sophie Rosset, Anselmo Peñas, Mark Cieliebak:
LIHLITH: Learning to Interact with Humans by Lifelong Interaction with Humans. Proces. del Leng. Natural 63: 147-150 (2019) - [c41]Ahmad Aghaebrahimian, Mark Cieliebak
Towards Integration of Statistical Hypothesis Tests into Deep Neural Networks. ACL (1) 2019: 5551-5557 - [c40]Jan Milan Deriu
Towards a Metric for Automated Conversational Dialogue System Evaluation and Improvement. INLG 2019: 432-437 - [c39]Mark Cieliebak, Olivier Galibert, Jan Deriu:
Towards Understanding Lifelong Learning for Dialogue Systems. IWSDS 2019: 357-363 - [c38]Arno Schneuwly, Ralf Grubenmann, Séverine Rion Logean, Mark Cieliebak, Martin Jaggi:
Correlating Twitter Language with Community-Level Health Outcomes. SMM4H@ACL 2019: 71-78 - [c37]Ahmad Aghaebrahimian, Mark Cieliebak:
Hyperparameter Tuning for Deep Learning in Natural Language Processing. SwissText 2019 - [c36]Valentin Venzin, Jan Deriu, Didier Orel, Mark Cieliebak:
Fact-aware Abstractive Text Summarization using a Pointer-Generator Network. SwissText 2019 - [p1]Jürg Meierhofer
Data Products. Applied Data Science 2019: 47-61 - [e2]Mark Cieliebak, Don Tuggener, Fernando Benites:
Proceedings of the 4th Swiss Text Analytics Conference, SwissText 2019, Winterthur, Switzerland, June 18-19, 2019. CEUR Workshop Proceedings 2458, CEUR-WS.org 2019 [contents] - [i9]Jan Deriu, Álvaro Rodrigo, Arantxa Otegi, Guillermo Echegoyen, Sophie Rosset, Eneko Agirre, Mark Cieliebak:
Survey on Evaluation Methods for Dialogue Systems. CoRR abs/1905.04071 (2019) - [i8]Arno Schneuwly, Ralf Grubenmann, Séverine Rion Logean, Mark Cieliebak, Martin Jaggi:
Correlating Twitter Language with Community-Level Health Outcomes. CoRR abs/1906.06465 (2019) - [i7]Ahmad Aghaebrahimian, Mark Cieliebak:
Towards Integration of Statistical Hypothesis Tests into Deep Neural Networks. CoRR abs/1906.06550 (2019) - [i6]Jan Deriu, Mark Cieliebak:
Towards a Metric for Automated Conversational Dialogue System Evaluation and Improvement. CoRR abs/1909.12066 (2019) - 2018
- [c35]Pius von Däniken, Ralf Grubenmann, Mark Cieliebak:
Word Unigram Weighing for Author Profiling at PAN 2018: Notebook for PAN at CLEF 2018. CLEF (Working Notes) 2018 - [c34]Dirk Von Gruenigen, Fernando Benites de Azevedo e Souza, Beatrice Pradarelli, Amani Magid
Best practices in e-assessments with a special focus on cheating prevention. EDUCON 2018: 893-899 - [c33]Jan Milan Deriu, Mark Cieliebak:
Syntactic Manipulation for Generating more Diverse and Interesting Texts. INLG 2018: 22-34 - [c32]Ralf Grubenmann, Don Tuggener, Pius von Däniken, Jan Deriu, Mark Cieliebak:
SB-CH: A Swiss German Corpus with Sentiment Annotations. LREC 2018 - [c31]Ralf Grubenmann, William Fallouh, Christoforos Nalmpantis, Mark Cieliebak:
Data Expedition into the Swiss Twitter Corpus. SwissText 2018: 92-94 - [c30]Tanja Samardzic, Mark Cieliebak, Jan Milan Deriu:
Future Actions for Swiss German - Workshop Results at SwissText 2018. SwissText 2018: 95-99 - [c29]Fernando Benites de Azevedo e Souza, Ralf Grubenmann, Pius von Däniken, Dirk Von Gruenigen, Jan Deriu, Mark Cieliebak:
Twist Bytes - German Dialect Identification with Data Mining Optimization. VarDial@COLING 2018 2018: 218-227 - [e1]Mark Cieliebak, Don Tuggener, Fernando Benites:
Proceedings of the 3rd Swiss Text Analytics Conference, SwissText 2018, Winterthur, Switzerland, June 12-13, 2018. CEUR Workshop Proceedings 2226, CEUR-WS.org 2018 [contents] - [i5]Eneko Agirre, Sarah Marchand, Sophie Rosset, Anselmo Peñas, Mark Cieliebak:
LIHLITH: Improving Communication Skills of Robots through Lifelong Learning. ERCIM News 2018(114) (2018) - 2017
- [c28]Jan Deriu
Potential and Limitations of Cross-Domain Sentiment Classification. SocialNLP@EACL 2017: 17-24 - [c27]Mark Cieliebak
A Twitter Corpus and Benchmark Resources for German Sentiment Analysis. SocialNLP@EACL 2017: 45-51 - [c26]Pius von Däniken, Mark Cieliebak:
Transfer Learning and Sentence Level Features for Named Entity Recognition on Tweets. NUT@EMNLP 2017: 166-171 - [c25]Don Kodiyan, Florin Hardegger, Stephan Neuhaus, Mark Cieliebak:
Author Profiling with Bidirectional RNNs using Attention with GRUs. CLEF (Working Notes) 2017 - [c24]Mark Cieliebak
How to throw chocolate at students: A survey of extrinsic means for increased audience attention. EDUCON 2017: 199-203 - [c23]Benjamin Bruno Meier, Thilo Stadelmann
Fully Convolutional Neural Networks for Newspaper Article Segmentation. ICDAR 2017: 414-419 - [c22]Jan Deriu
SwissAlps at SemEval-2017 Task 3: Attention-based Convolutional Neural Network for Community Question Answering. SemEval@ACL 2017: 334-338 - [c21]Simon Müller, Tobias Huonder, Jan Deriu, Mark Cieliebak:
TopicThunder at SemEval-2017 Task 4: Sentiment Classification Using a Convolutional Neural Network with Distant Supervision. SemEval@ACL 2017: 766-770 - [c20]Jan Deriu
Leveraging Large Amounts of Weakly Supervised Data for Multi-Language Sentiment Classification. WWW 2017: 1045-1052 - [i4]Jan Deriu, Aurélien Lucchi, Valeria De Luca, Aliaksei Severyn, Simon Müller, Mark Cieliebak, Thomas Hofmann, Martin Jaggi:
Leveraging Large Amounts of Weakly Supervised Data for Multi-Language Sentiment Classification. CoRR abs/1703.02504 (2017) - 2016
- [c19]Jan Deriu, Mark Cieliebak:
Sentiment Detection using Convolutional Neural Networks with Multi-Task Training and Distant Supervision. CLiC-it/EVALITA 2016 - [c18]Mark Cieliebak
Influence of flipped classroom on technical skills and non-technical competences of IT students. EDUCON 2016: 1012-1016 - [i3]Mark Cieliebak, Dominic Egger, Fatih Uzdilli:
Twitter can Help to Find Adverse Drug Reactions. ERCIM News 2016(104) (2016) - [i2]Mark Cieliebak:
Optimising Deep Learning for Infinite Applications in Text Analytics. ERCIM News 2016(107) (2016) - 2015
- [c17]Fatih Uzdilli, Martin Jaggi, Dominic Egger, Pascal Julmy, Leon Derczynski, Mark Cieliebak
Swiss-Chocolate: Combining Flipout Regularization and Random Forests with Artificially Built Subsystems to Boost Text-Classification for Sentiment. SemEval@NAACL-HLT 2015: 608-612 - [i1]Thilo Stadelmann, Mark Cieliebak, Kurt Stockinger:
Toward Automatic Data Curation for Open Data. ERCIM News 2015(100) (2015) - 2014
- [c16]Mark Cieliebak, Oliver Dürr, Fatih Uzdilli:
Meta-Classifiers Easily Improve Commercial Sentiment Detection Tools. LREC 2014: 3100-3104 - [c15]Oliver Dürr, Fatih Uzdilli, Mark Cieliebak:
JOINT_FORCES: Unite Competing Sentiment Classifiers with Random Forest. SemEval@COLING 2014: 366-369 - [c14]Martin Jaggi
Swiss-Chocolate: Sentiment Detection using Sparse SVMs and Part-Of-Speech n-Grams. SemEval@COLING 2014: 601-604 - 2013
- [c13]Mark Cieliebak, Oliver Dürr, Fatih Uzdilli:
Potential and Limitations of Commercial Sentiment Detection Tools. ESSEM@AI*IA 2013: 47-58 - 2012
- [j7]Mark Cieliebak
Distributed Computing by Mobile Robots: Gathering. SIAM J. Comput. 41(4): 829-879 (2012)
2000 – 2009
- 2008
- [j6]Mark Cieliebak, Stephan J. Eidenbenz, Aris Pagourtzis, Konrad Schlude:
On the Complexity of Variations of Equal Sum Subsets. Nord. J. Comput. 14(3): 151-172 (2008) - [j5]Mark Cieliebak, Alexander Hall, Riko Jacob, Marc Nunkesser:
Sequential vector packing. Theor. Comput. Sci. 409(3): 351-363 (2008) - 2007
- [j4]Nikhil Bansal, Mark Cieliebak, Zsuzsanna Lipták
Finding submasses in weighted strings with Fast Fourier Transform. Discret. Appl. Math. 155(6-7): 707-718 (2007) - [c12]Mark Cieliebak, Alexander Hall, Riko Jacob, Marc Nunkesser:
Sequential Vector Packing. ESCAPE 2007: 12-23 - 2005
- [j3]Mark Cieliebak, Stephan J. Eidenbenz, Gerhard J. Woeginger:
Complexity and Approximability of Double Digest. J. Bioinform. Comput. Biol. 3(2): 207-224 (2005) - [j2]Mark Cieliebak, Stephan J. Eidenbenz, Paolo Penna:
Partial Digest is hard to solve for erroneous input data. Theor. Comput. Sci. 349(3): 361-381 (2005) - [c11]Luzi Anderegg, Mark Cieliebak, Giuseppe Prencipe
Efficient Algorithms for Detecting Regular Point Configurations. ICTCS 2005: 23-35 - 2004
- [j1]Mark Cieliebak, Thomas Erlebach
Algorithmic complexity of protein identification: combinatorics of weighted strings. Discret. Appl. Math. 137(1): 27-46 (2004) - [c10]Nikhil Bansal, Mark Cieliebak, Zsuzsanna Lipták
Efficient Algorithms for Finding Submasses in Weighted Strings. CPM 2004: 194-204 - [c9]Mark Cieliebak, Thomas Erlebach, Fabian Hennecke, Birgitta Weber, Peter Widmayer:
Scheduling with Release Times and Deadlines on a Minimum Number of Machines. IFIP TCS 2004: 209-222 - [c8]Mark Cieliebak, Stephan J. Eidenbenz:
Measurement Errors Make the Partial Digest Problem NP-Hard. LATIN 2004: 379-390 - [c7]Mark Cieliebak:
Gathering Non-oblivious Mobile Robots. LATIN 2004: 577-588 - 2003
- [c6]Mark Cieliebak, Stephan J. Eidenbenz, Gerhard J. Woeginger:
Double Digest Revisited: Complexity and Approximability in the Presence of Noisy Data. COCOON 2003: 519-527 - [c5]Mark Cieliebak, Stephan J. Eidenbenz, Aris Pagourtzis:
Composing Equipotent Teams. FCT 2003: 98-108 - [c4]Mark Cieliebak, Paola Flocchini, Giuseppe Prencipe
Solving the Robots Gathering Problem. ICALP 2003: 1181-1196 - [c3]Mark Cieliebak, Stephan J. Eidenbenz, Paolo Penna:
Noisy Data Make the Partial Digest Problem NP-hard. WABI 2003: 111-123 - 2002
- [c2]Mark Cieliebak, Thomas Erlebach, Zsuzsanna Lipták
Algorithmic Complexity of Protein Identification: Searching in Weighted Strings. IFIP TCS 2002: 143-156 - [c1]Mark Cieliebak, Giuseppe Prencipe:
Gathering Autonomous Mobile Robots. SIROCCO 2002: 57-72
Coauthor Index
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