Prof. Dr. Mark Cieliebak

ZHAW School of Engineering
Centre for Artificial Intelligence
Steinberggasse 13
8400 Winterthur

+41 (0) 58 934 72 39
mark.cieliebak@zhaw.ch

Persönliches Profil

Leitungsfunktion

Stv. Schwerpunktleitung Software Systems (SwS)

Tätigkeit an der ZHAW als

Dozent für Datenanalyse und Software Engineering

http://www.zhaw.ch/~ciel

Lehrtätigkeit in der Weiterbildung

Arbeits- und Forschungsschwerpunkte, Spezialkenntnisse

Text Analytics und Dialogue Systems, Machine Learning, Social Media, Data Science, Algorithmen und Komplexität, Software Engineering

Aus- und Fortbildung

Dr. sc. tech, ETH Zürich, 2003
Dipl. Informatiker, Universität Dortmund, 1999

Beruflicher Werdegang

CEO und Founder, SpinningBytes AG, seit 2015
Leiter IT und Entwicklung, Netbreeze GmbH, 2007-2012
Software Ingenieur, sd&m AG, 2005-2007
Algorithmiker, Prolim GmbH, 2005
Postdoc, Universität Santiago de Chile, 2004

Projekte

Publikationen

Beiträge in wissenschaftlicher Zeitschrift, peer-reviewed

Deriu, Jan Milan; Rodrigo, Alvaro; Otegi, Arantxa; Echegoyen, Guillermo; Rosset, Sophie; Agirre, Eneko; Cieliebak, Mark,

2020.

Survey on evaluation methods for dialogue systems.

Artificial Intelligence Review.

54(1), S. 755-810.

Verfügbar unter: https://doi.org/10.1007/s10462-020-09866-x
Cieliebak, Mark; Benites de Azevedo e Souza, Fernando; Leuschen, Lara; Hnizda, Michaela; Betzler, Diana,

2019.

Natural language processing in arts management.

Zeitschrift für Kulturmanagement.

5(1), S. 119-142.
Cieliebak, Mark,

2014.

Flip your classroom : but be aware!.

Lifelong Learning in Europe.

2014(4).
Cieliebak, Mark; Flocchini, Paola; Prencipe, Giuseppe; Santoro, Nicola,

2012.

Distributed computing by mobile robots : gathering.

SIAM Journal on Computing.

41(4), S. 829-879.

Verfügbar unter: https://doi.org/10.1137/100796534
Cieliebak, Mark; Eidenbenz, Stephan; Pagourtzis, Aris T.; Schlude, Konrad,

2008.

On the complexity of variations of Equal Sum Subsets.

Nordic Journal of Computing.

14(3), S. 151-172.

Verfügbar unter: https://dl.acm.org/doi/10.5555/1737763.1737764

Buchbeiträge, peer-reviewed

Cieliebak, Mark; Keck Frei, Andrea,

2020.

Flipped Classroom in der Hochschullehre einsetzen

.

In:

Bachmann, Heinz, Hrsg.,

Hochschullehre variantenreich gestalten : Kompetenzorientierte Hochschullehre – Ansätze, Methoden und Beispiele.

hep.

Forum Hochschuldidaktik und Erwachsenenbildung ; 4.
Meierhofer, Jürg; Stadelmann, Thilo; Cieliebak, Mark,

2019.

Data products

.

In:

Braschler, Martin; Stadelmann, Thilo; Stockinger, Kurt, Hrsg.,

Applied data science : lessons learned for the data-driven business.

Cham:

Springer.

S. 47-61.

Verfügbar unter: https://doi.org/10.1007/978-3-030-11821-1_4

Konferenzbeiträge, peer-reviewed

Benites de Azevedo e Souza, Fernando; Hürlimann, Manuela; von Däniken, Pius; Cieliebak, Mark,

2020.

ZHAW-InIT : social media geolocation at VarDial 2020 [Paper].

In:

Zampieri, Marcos; Nakov, Preslav; Ljubešić, Nikola; Tiedemann, Jörg; Scherrer, Yves, Hrsg.,

Proceedings of the 7th Workshop on NLP for Similar Languages, Varieties and Dialects.

Workshop on NLP for Similar Languages, Varieties and Dialects, Barcelona (Spain), online, 13 December 2020.

International Committee on Computational Linguistics (ICCL).

S. 254-264.

Verfügbar unter: https://doi.org/10.21256/zhaw-21551
Deriu, Jan Milan; Tuggener, Don; von Däniken, Pius; Campos, Jon Ander; Rodrigo, Alvaro; Belkacem, Thiziri; Soroa, Aitor; Agirre, Eneko; Cieliebak, Mark,

2020.

Spot The Bot : a robust and efficient framework for the evaluation of conversational dialogue systems [Paper].

In:

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP).

Conference on Empirical Methods in Natural Language Processing (EMNLP), Online, 16-20 November 2020.

Association for Computational Linguistics.

S. 3971-3984.

Verfügbar unter: https://doi.org/10.18653/v1/2020.emnlp-main.326
Deriu, Jan Milan; Mlynchyk, Katsiaryna; Schläpfer, Philippe; Rodrigo, Alvaro; von Grünigen, Dirk; Kaiser, Nicolas; Stockinger, Kurt; Agirre, Eneko; Cieliebak, Mark,

2020.

A methodology for creating question answering corpora using inverse data annotation [Paper].

In:

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics.

ACL 2020, Virtual, 5-10 July 2020.

Association for Computational Linguistics.

S. 897-911.

Verfügbar unter: https://doi.org/10.18653/v1/2020.acl-main.84
Ebling, Sarah; Tuggener, Don; Hürlimann, Manuela; Cieliebak, Mark; Volk, Martin, Hrsg.,

2020.

Proceedings of the 5th Swiss Text Analytics Conference (SwissText) & 16th Conference on Natural Language Processing (KONVENS).

5th SwissText & 16th KONVENS Joint Conference, Zurich (online), 24-25 June 2020.

.

Verfügbar unter: http://ceur-ws.org/Vol-2624/
Büchi, Matthias; Ulasik, Malgorzata Anna; Hürlimann, Manuela; Benites de Azevedo e Souza, Fernando; von Däniken, Pius; Cieliebak, Mark,

2020.

ZHAW-InIT at GermEval 2020 task 4 : low-resource speech-to-text [Paper].

In:

Ebling, Sarah; Tuggener, Don; Hürlimann, Manuela; Cieliebak, Mark; Volk, Martin, Hrsg.,

Proceedings of the 5th Swiss Text Analytics Conference (SwissText) & 16th Conference on Natural Language Processing (KONVENS).

5th SwissText & 16th KONVENS Joint Conference, Zurich (online), 24-25 June 2020.

CEUR Workshop Proceedings.

Verfügbar unter: https://doi.org/10.21256/zhaw-21550
Tuggener, Don; von Däniken, Pius; Peetz, Thomas; Cieliebak, Mark,

2020.

LEDGAR : a large-scale multi-label corpus for text classification of legal provisions in contracts [Paper].

In:

Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020).

12th Language Resources and Evaluation Conference (LREC) 2020.

European Language Resources Association.

S. 1228-1234.

Verfügbar unter: https://doi.org/10.21256/zhaw-20087
Benites de Azevedo e Souza, Fernando; Duivesteijn, Gilbert François; von Däniken, Pius; Cieliebak, Mark,

2020.

TRANSLIT : a large-scale name transliteration resource [Paper].

In:

Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020).

12th Language Resources and Evaluation Conference (LREC) 2020.

European Language Resources Association.

S. 3258-3264.

Verfügbar unter: https://doi.org/10.21256/zhaw-20082
Ulasik, Malgorzata Anna; Hürlimann, Manuela; Germann, Fabian; Gedik, Esin; Benites de Azevedo e Souza, Fernando; Cieliebak, Mark,

2020.

CEASR : a corpus for evaluating automatic speech recognition [Paper].

In:

Calzolari, Nicoletta; Béchet, Frédéric; Blache, Philippe; Choukri, Khalid; Cieri, Christopher; Declerck, Thierry; Goggi, Sara; Isahara, Hitoshi; Maegaard, Bente; Mariani, Joseph; Mazo, Hélène; Moreno, Asuncion; Odijk, Jan; Piperidis, Stelios, Hrsg.,

Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020).

12th Language Resources and Evaluation Conference (LREC) 2020.

European Language Resources Association.

S. 6477-6485.

Verfügbar unter: https://doi.org/10.21256/zhaw-20125
Campos, Jon Ander; Otegi, Arantxa; Soroa, Aitor; Deriu, Jan Milan; Cieliebak, Mark; Agirre, Eneko,

2020.

DoQA : accessing domain-specific FAQs via conversational QA [Paper].

In:

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics.

ACL 2020, Virtual, 5-10 July 2020.

Association for Computational Linguistics.

S. 7302-7314.

Verfügbar unter: https://doi.org/10.18653/v1/2020.acl-main.652
Aghaebrahimian, Ahmad; Cieliebak, Mark,

2020.

Named entity disambiguation at scale [Paper].

In:

Schilling, Frank-Peter; Stadelmann, Thilo, Hrsg.,

Artificial Neural Networks in Pattern Recognition.

9th IAPR TC 3 Workshop on Artificial Neural Networks for Pattern Recognition (ANNPR'20), Winterthur, Switzerland, 2-4 September 2020.

Cham:

Springer.

S. 102-110.

Lecture Notes in Computer Science ; 12294.

Verfügbar unter: https://doi.org/10.1007/978-3-030-58309-5_8
Benites de Azevedo e Souza, Fernando; von Däniken, Pius; Cieliebak, Mark,

2019.

TwistBytes - identification of Cuneiform languages and German dialects at VarDial 2019 [Paper].

In:

Proceedings of the Sixth Workshop on NLP for Similar Languages, Varieties and Dialects.

6th Workshop on NLP for Similar Languages, Varieties and Dialects, VarDial 2019, Minneapolis, United States, 7 June 2019.

Ann Arbor, Michigan:

Association for Computational Linguistics.

S. 194-201.

Verfügbar unter: https://doi.org/10.18653/v1/W19-1421
Aghaebrahimian, Ahmad; Cieliebak, Mark,

2019.

Hyperparameter tuning for deep learning in natural language processing [Paper].

In:

4th Swiss Text Analytics Conference (SwissText 2019), Winterthur, June 18-19 2019.

Swisstext.

Verfügbar unter: https://doi.org/10.21256/zhaw-18993
Agirre, Eneko; Otegi, Arantxa; Pradel, Camille; Rosset, Sophie; Peñas, Anselmo; Cieliebak, Mark,

2019.

LIHLITH : learning to interact with humans by lifelong interaction with humans [Paper].

In:

SEPLN2019, Bilbao, Spain, September 25-27, 2019.
Sileo, Damien; Pradel, Camille; Peñas, Anselmo; Echegoyen, Guillermo; Otegi, Arantxa; Deriu, Jan Milan; Cieliebak, Mark; Barrena, Ander; Agirre, Eneko,

2019.

Matching words and knowledge graph entities with meta-embeddings [Paper].

In:

Proceedings of CAp2019.

Conference on Machine Learning (CAp), Toulouse, July 3 to 5, 2019.

PFIA.

S. 34-39.
Deriu, Jan Milan; Cieliebak, Mark,

2019.

Towards a metric for automated conversational dialogue system evaluation and improvement [Paper].

In:

2th International Conference on Natural Language Generation (INLG 2019), Tokyo, Japan, October 29 - November 1, 2019.

Verfügbar unter: https://www.inlg2019.com/assets/papers/132_Supplementary_Attachment.pdf
Aghaebrahimian, Ahmad; Cieliebak, Mark,

2019.

Towards integration of statistical hypothesis tests into deep neural networks [Paper].

In:

Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics.

57th Annual Meeting of the Association for Computational Linguistics, Florence, Italy, 28 July - 2 August 2019.

Association for Computational Linguistics.

S. 5551-5557.

Verfügbar unter: https://doi.org/10.18653/v1/P19-1557
Cieliebak, Mark; Galibert, Olivier; Deriu, Jan Milan,

2019.

Towards understanding lifelong learning for dialogue systems [Paper].

In:

IWSDS 2019 Proceedings.

IWSDS 2019 : International Workshop on Spoken Dialogue Systems Technology, Siracusa, Italy, Apr 24, 2019 - Apr 26, 2019.

IWSDS.

Verfügbar unter: http://iwsds2019.unikore.it/wp-content/uploads/2019/10/IWSDS-2019_Proceedings.zip
Siddiqui, Nadina; Metzler, Linus; Tuggener, Don; Cieliebak, Mark,

2018.

A framework for text analytics with visual exploration and machine learning [Poster].

In:

Fachkonferenz Technik, Architektur und Life Sciences (FTAL), Lugano, 18.-19. Oktober 2018.
von Grünigen, Dirk; Benites de Azevedo e Souza, Fernando; Pradarelli, Beatrice; Magid, Amani; Cieliebak, Mark,

2018.

Best practices in e-assessments with a special focus on cheating prevention [Paper].

In:

Proceedings of 2018 IEEE Global Engineering Education Conference (EDUCON).

2018 IEEE Global Engineering Education Conference (EDUCON18), Tenerife, 17-20 April 2018.

IEEE.

S. 893-899.

Verfügbar unter: https://doi.org/10.1109/EDUCON.2018.8363325
Benites de Azevedo e Souza, Fernando; Duivesteijn, Gilbert; von Däniken, Pius; Cieliebak, Mark,

2018.

Merging haystacks to find matching needles : a transliteration approach [Poster].

In:

SwissText 2018: 3rd Swiss Text Analytics Conference, Winterthur, 12.-13. Juni 2018.
Grubenmann, Ralf; Tuggener, Don; von Däniken, Pius; Deriu, Jan Milan; Cieliebak, Mark,

2018.

SB-CH : a Swiss German corpus with sentiment annotations [Poster].

In:

Proceedings of the Eleventh International Conference on Language Resources and Evaluation, LREC 2018.

11th Edition of the Language Resources and Evaluation Conference (LREC 2018), Miyazaki, 7-12 May 2018.

European Language Resources Association.
von Grünigen, Dirk; Grubenmann, Ralf; Benites de Azevedo e Souza, Fernando; von Däniken, Pius; Cieliebak, Mark,

2018.

spMMMP at GermEval 2018 shared task : classification of offensive content in tweets using convolutional neural networks and gated recurrent units [Paper].

In:

Proceedings of the GermEval 2018 Workshop : 14th Conference on Natural Language Processing - KONVENS 2018.

14th Conference on Natural Language Processing (KONVENS 2018), Vienna, Austria, 19-21 September 2018.

ÖAW Austrian Academy of Sciences.

S. 130-137.

Verfügbar unter: https://www.oeaw.ac.at/fileadmin/subsites/academiaecorpora/PDF/GermEval2018_Proceedings.pdf
Deriu, Jan Milan; Cieliebak, Mark,

2018.

Syntactic manipulation for generating more diverse and interesting texts [Paper].

In:

Proceedings of the 11th International Conference on Natural Language Generation.

11th International Conference on Natural Language Generation (INLG 2018), Tilburg, The Netherlands, 5-8 November 2018.

Association for Computational Linguistics.

S. 22-34.

Verfügbar unter: https://doi.org/10.21256/zhaw-4875
Benites de Azevedo e Souza, Fernando; Grubenmann, Ralf; von Däniken, Pius; von Grünigen, Dirk; Deriu, Jan Milan; Cieliebak, Mark,

2018.

Twist Bytes : German dialect identification with data mining optimization [Paper].

In:

Proceedings of the Fifth Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial 2018).

27th International Conference on Computational Linguistics (COLING 2018), Santa Fe, August 20-26, 2018.

VarDial.

S. 218-227.

Verfügbar unter: https://doi.org/10.21256/zhaw-4850
von Däniken, Pius; Grubenmann, Ralf; Cieliebak, Mark,

2018.

Word unigram weighing for author profiling at PAN 2018 : notebook for PAN at CLEF 2018 [Poster].

In:

CLEF 2018 Evaluation Labs and Workshop – Working Notes Papers (PAN).

Conference and Labs of the Evaluation Forum (CLEF 2018), Avignon, France, 10-14 September 2018.

Verfügbar unter: http://ceur-ws.org/Vol-2125/paper_135.pdf
Cieliebak, Mark; Deriu, Jan Milan; Egger, Dominic; Uzdilli, Fatih,

2017.

A Twitter corpus and benchmark resources for german sentiment analysis [Paper].

In:

5th International Workshop on Natural Language Processing for Social Media, Boston MA, USA, 11 December 2017.

Association for Computational Linguistics.

S. 45-51.

Verfügbar unter: https://doi.org/10.18653/v1/W17-1106
Kodiyan, Don; Hardegger, Florin; Neuhaus, Stephan; Cieliebak, Mark,

2017.

Author profiling with bidirectional RNNs using attention with GRUs : notebook for PAN at CLEF 2017 [Paper].

In:

CLEF 2017 Evaluation Labs and Workshop – Working Notes Papers.

CLEF 2017 Conference and Labs of the Evaluation Forum, Dublin, Ireland, 11-14 September 2017.

RWTH Aachen.

Verfügbar unter: https://doi.org/10.21256/zhaw-1531
Graf, Hans Daniel; Koc, Yusuf; Panighetti, Sandro; Togni, Matteo; von Grünigen, Dirk; Weilenmann, Martin; Xhoxhaj, Erland; Zürrer, Daniel; Benites de Azevedo e Souza, Fernando; Deriu, Jan Milan; Neureiter, Nico; von Däniken, Pius; Cieliebak, Mark; Eich, Walter; Neuhaus, Stephan; Stockinger, Kurt,

2017.

Four different ways to build a chatbot about movies [Poster].

In:

SwissText 2017: 2nd Swiss Text Analytics Conference, Winterthur, 9. Juni 2017.
Meier, Benjamin; Stadelmann, Thilo; Stampfli, Jan; Arnold, Marek; Cieliebak, Mark,

2017.

Fully convolutional neural networks for newspaper article segmentation [Paper].

In:

Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition (ICDAR).

14th IAPR International Conference on Document Analysis and Recognition (ICDAR 2017), Kyoto Japan, 13-15 November 2017.

Kyoto, Japan:

CPS.

Verfügbar unter: https://doi.org/10.21256/zhaw-1533
Benites de Azevedo e Souza, Fernando; Cieliebak, Mark,

2017.

Hierarchical classificaion for news articles [Poster].

In:

SwissText 2017: 2nd Swiss Text Analytics Conference, Winterthur, 9. Juni 2017.
Cieliebak, Mark; Magid, Amani; Pradarelli, Beatrice,

2017.

How to throw chocolate at students : a survey of extrinsic means for increased audience attention [Paper].

In:

Global Engineering Education Conference (EDUCON).

Global Engineering Education Conference (EDUCON), Athens, Greece, 25-28 April 2017.

IEEE.

S. 199-203.

Verfügbar unter: https://doi.org/10.1109/EDUCON.2017.7942847
von Grünigen, Dirk; Weilenmann, Martin; Deriu, Jan Milan; Cieliebak, Mark,

2017.

Potential and limitations of cross-domain sentiment classification [Paper].

In:

Proceedings of the Fifth International Workshop on Natural Language Processing for Social Media.

Fifth International Workshop on Natural Language Processing for Social Media, Valencia, Spain, 3-7 April 2017.

Stroudsburg PA, USA:

Association for Computational Linguistics.

S. 17-24.

Verfügbar unter: https://doi.org/10.18653/v1/W17-1103
Falkner, Nicole; Dolce, Stefano; von Däniken, Pius; Cieliebak, Mark,

2017.

Swiss chocolate at CAp 2017 NER challenge : partially annotated data and transfer learning [Paper].

In:

19th Conference sur l'Apprentissage Automatique, Grenoble, 28-30 June 2017.

ZHAW Zürcher Hochschule für Angewandte Wissenschaften.

Verfügbar unter: https://doi.org/10.21256/zhaw-1532
Müller, Simon; Huonder, Tobias; Deriu, Jan Milan; Cieliebak, Mark,

2017.

TopicThunder at SemEval-2017 Task 4 : sentiment classification using a convolutional neural network with distant supervision [Paper].

In:

Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017).

11th International Workshop on Semantic Evaluation, Vancouver, Canada, 3-4 August 2017.

Association for Computational Linguistics.

S. 766-771.

Verfügbar unter: https://doi.org/10.21256/zhaw-1529
von Däniken, Pius; Cieliebak, Mark,

2017.

Transfer learning and sentence level features for named entity recognition on tweets [Paper].

In:

Proceedings of the 3rd Workshop on Noisy User-generated Text.

3rd Workshop on Noisy User-generated Text (W-NUT), Copenhagen, Denmark, 7 September 2017.

Association for Computational Linguistics.

S. 166-171.

Verfügbar unter: https://doi.org/10.21256/zhaw-1528
Uzdilli, Fatih; Cieliebak, Mark; Egger, Dominic,

2016.

Adverse drug reaction detection using an adapted sentiment classifier [Paper].

In:

Proceedings of the Social Media Mining Shared Task Workshop at the Pacific Symposium on Biocomputing.

Pacific Symposium on Biocomputing, Fairmont Orchid, USA, 4-8 January 2016.
Cieliebak, Mark; Keck Frei, Andrea,

2016.

Influence of flipped classroom on technical skills and non-technical competences of IT students [Paper].

In:

Global Engineering Education Conference (EDUCON), Abu Dhabi, UAE, 10-13 April 2016.

IEEE.

S. 1012-1016.

Verfügbar unter: https://doi.org/10.1109/EDUCON.2016.7474676
Deriu, Jan Milan; Cieliebak, Mark,

2016.

Sentiment analysis using convolutional neural networks with multi-task training and distant supervision on italian tweets [Paper].

In:

Basili, Roberto; Montemagni, Simonetta, Hrsg.,

Proceedings of Third Italian Conference on Computational Linguistics (CLiC-it 2016) & Fifth Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2016).

Fifth Evaluation Campaign of Natural Language Processing and Speech Tools for Italian, Napoli, Italy, 5-7 December 2016.

Italian Journal of Computational Linguistics.

Verfügbar unter: https://doi.org/10.21256/zhaw-1527
Arnold, Marek; Cieliebak, Mark; Stadelmann, Thilo; Stampfli, Jan; Uzdilli, Fatih,

2015.

PANOPTES : automated article segmentation of newspaper pages for "Real Time Print Media Monitoring“ [Poster].

In:

Proceedings of SGAICO Annual Assembly and Workshop 2015.

SGAICO Annual Assembly and Workshop 2015, Geneva, 12 November 2015.
Uzdilli, Fatih; Jaggi, Martin; Egger, Dominic; Julmy, Pascal; Derczynski, Leon; Cieliebak, Mark,

2015.

Swiss-Chocolate : combining flipout regularization and random forests with artificially built subsystems to boost text-classification for sentiment [Paper].

In:

Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015), Denver, Colorado, June 4-5, 2015.

International Workshop on Semantic Evaluation (SemEval-2014), Dublin, Irland, 23-24 August 2014.

Association for Computational Linguistics.

S. 608-612.

Verfügbar unter: https://doi.org/10.18653/v1/S15-2101
Stadelmann, Thilo; Stockinger, Kurt; Braschler, Martin; Cieliebak, Mark; Baudinot, Gerold; Dürr, Oliver; Ruckstuhl, Andreas,

2013.

Applied data science in Europe : challenges for academia in keeping up with a highly demanded topic [Paper].

In:

Proceedings of the 9th European Computer Science Summit.

9th European Computer Science Summit, Amsterdam, Niederlande, 8-9 October 2013.

Weitere Publikationen

von Däniken, Pius; Hürlimann, Manuela; Cieliebak, Mark,

2020.

Overview of the GermEval 2020 shared task on Swiss German language identification [Paper].

In:

Ebling, Sarah; Tuggener, Don; Hürlimann, Manuela; Cieliebak, Mark; Volk, Martin, Hrsg.,

Proceedings of the 5th Swiss Text Analytics Conference (SwissText) & 16th Conference on Natural Language Processing (KONVENS).

5th SwissText & 16th KONVENS Joint Conference, Zurich (online), 24-25 June 2020.

CEUR Workshop Proceedings.

Verfügbar unter: https://doi.org/10.21256/zhaw-21549
Leuschen, Lara; Betzler, Diana; Fredersdorf, Frederic; Rebitzer, Fabian; Cieliebak, Mark; Benites de Azevedo e Souza, Fernando,

2020.

Digitale Kommunikationsstrategien für den Kultursektor der Bodenseeregion.

Kreuzlingen:

Internationale Bodensee Hochschule.

Verfügbar unter: https://www.bodenseehochschule.org/wp-content/uploads/2020/10/IBH-Projekt_Digitale-Kommunikationsstrategien-f%C3%BCr-den-Kultursektor_Abschlussbericht-mit-Grafik.pdf
Cieliebak, Mark; Tuggener, Don; Benites, Fernando, Hrsg.,

2019.

Proceedings of the 4th edition of the Swiss Text Analytics Conference.

SwissText 2019, Winterthur, 18-19 June 2019.

CEUR-WS.org.

.

Verfügbar unter: http://ceur-ws.org/Vol-2458/
Schneuwly, Arno; Grubenmann, Ralf; Logean, Séverine Rion; Cieliebak, Mark; Jaggi, Martin,

2019.

Correlating twitter language with community-level health outcomes.

ZHAW Zürcher Hochschule für Angewandte Wissenschaften.

Verfügbar unter: https://doi.org/10.21256/zhaw-18986
Deriu, Jan Milan; Rodrigo, Alvaro; Otegi, Arantxa; Guillermo, Echegoyen; Rosset, Sophie; Agirre, Eneko; Cieliebak, Mark, Hrsg.,

2019.

Survey on evaluation methods for dialogue.

ZHAW Zürcher Hochschule für Angewandte Wissenschaften.

Verfügbar unter: https://doi.org/10.21256/zhaw-18985
Venzin, Valentin; Deriu, Jan Milan; Didier, Orel; Cieliebak, Mark,

2019.

Fact-aware abstractive text summarization using a pointer-generator network [Paper].

In:

4th Swiss Text Analytics Conference (SwissText 2019), Winterthur, June 18-19 2019.

Swisstext.

Verfügbar unter: https://doi.org/10.21256/zhaw-18988
Cieliebak, Mark; Benites de Azevedo e Souza, Fernando; Leuschen, Lara; Hnizda, Michaela; Betzler, Diana,

2019.

Methods of NLP in arts management [Poster].

In:

8th International Conference on Writing Analytics, Winterthur, 5-6 September 2019.

Winterthur:

ZHAW Zürcher Hochschule für Angewandte Wissenschaften.

Verfügbar unter: https://doi.org/10.21256/zhaw-18443
Agirre, Eneko; Marchand, Sarah; Rosset, Sophie; Peñas, Anselmo; Cieliebak, Mark,

2018.

LIHLITH : improving communication skills of robots through lifelong learning.

ERCIM News.

2018(114), S. 12.

Verfügbar unter: https://ercim-news.ercim.eu/images/stories/EN114/EN114-web.pdf
Deriu, Jan Milan; Cieliebak, Mark,

2017.

End-to-end trainable system for enhancing diversity in natural language generation [Paper].

In:

End-to-End Natural Language Generation Challenge (E2E NLG), 2017.

ZHAW Zürcher Hochschule für Angewandte Wissenschaften.

Verfügbar unter: https://doi.org/10.21256/zhaw-4889
Deriu, Jan Milan; Lucchi, Aurelien; De Luca, Valeria; Severyn, Aliaksei; Müller, Simone; Cieliebak, Mark; Hofmann, Thomas; Jaggi, Martin,

2017.

Leveraging large amounts of weakly supervised data for multi-language sentiment classification [Paper].

In:

Proceedings of the 26th International Conference on World Wide Web.

26th International World Wide Web Conference Committee (IW3C2), Perth, Australia, 3-7 April 2017.

ACM.

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SwissAlps at SemEval-2017 Task 3 : attention-based convolutional neural network for community question answering [Paper].

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Cieliebak, Mark,

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Deep learning for infinite applications in text analytics.

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Optimising Deep Learning for Infinite Applications in Text Analytics.

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Twitter can help to find adverse drug reactions.

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Back to the Future : Time-Travelling-Debugger als Alternative zu klassischen Debuggern.

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Toward automatic data curation for open data.

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JOINT_FORCES : unite competing sentiment classifiers with random forest [Paper].

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Meta-classifiers easily improve commercial sentiment detection tools [Paper].

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Swiss-chocolate : sentiment detection using sparse SVMs and part-of-speech n-grams [Paper].

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Social CRM : vom Hype zum Standard.

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