SwissText 2018 - 3rd Swiss Text Analytics Conference – SwissText 2018
Date2018-06-12 - 2018-06-13
Deadline2018-03-11
VenueWinterthur, Switzerland
Keywords
Websitehttps://www.swisstext.org
Topics/Call fo Papers
SwissText is an annual conference that brings together text analytics experts from industry and academia. The conference is held on June 12-13, 2018 in Winterthur, Switzerland, which is a short train ride (20min) from Zurich.
The conference will have two tracks:
- Swiss Track, with a strong focus on Swiss industry and research. This track resembles the continuation of last years conference setting.
- Scientific Track, with technical research papers from the international community.
Scientific papers and abstracts of the "Swiss Track" presentations will be published in the conference proceedings.
Swiss Track
===
The goal of the Swiss Track is to bring together experts from Swiss industry and academia. For this track, we are looking for presentations with a certain "Swissness" factor:
- Your company or university is located in Switzerland;
- You provide a text analytics solution for one (or more) of the languages of Switzerland (including Swiss dialects);
- Your product focuses primarily on the Swiss market;
- Or any other factor that connects your presentation to Switzerland.
Presentations can be:
- Showcases
- Demos
- Applications
- Resources
- Research results
- Or any other contribution that is interesting to the audience.
In this track, we also welcome scientific contributions that were already published in other conferences or journals - as long as they have a Swissness factor.
For this track, only a short abstract (up to 1500 characters) has to be submitted, along with a CV of the presenter (max 500 chars) and the intended audience (e.g. developers, decision makers, project managers, max. 300 chars). All data is entered online via EasyChair.
Note: If you intend to publish a full scientific paper with a Swiss-related topic, please submit it to the Scientific Track.
Scientific Track
===
SwissText has the goal to feature a profound technical program. We invite submissions of scientific papers in all areas in the fields of Natural Language Processing (NLP), Computational Linguistics (CL), and Machine Learning/Data Science with a focus on Text Analytics.
Submission format:
- Please use the ACL LaTeX template: http://acl2017.org/downloads/acl17-latex.zip
- Up to 8 pages, excluding references
- Language: English
- Anonymize: The review process will be double blind; we ask authors to anonymize their submission reasonably. Instead of e.g. "We previously showed (Smith, 1991) ...", write "Smith previously showed (Smith, 1991) ..."
- Manuscripts must describe original work that has neither been published before, nor is currently under review elsewhere.
- Submission will be made through EasyChair.
===
Important Dates
===
- Submission Deadline (Extended): March 11, 2018
- Author Notification: April 16, 2018
- Camera Ready: April 30, 2018
- Conference: June 12-13, 2018
===
Proceedings
===
All accepted scientific papers will be published in full length in the conference proceedings. For presentations in the Swiss Track, the abstract will be included in the proceedings. There is no differentiation between oral or poster presentations in the proceedings. The proceedings shall be submitted to CEUR-WS.org for online publication under open access. To appear in the proceedings, each contribution has to be presented by at least one author at the conference.
===
Presentation Types
===
Accepted submissions will be presented orally or as posters, as determined by the program committee. All presentations are in English, and will be listed in the conference program booklet.
===
Keynote Speakers
===
• Eneko Agirre, University of the Basque Country (UPV/EHU)
• Costas Bekas, IBM Research – Zurich
• Iryna Gurevych, Technical University of Darmstadt
===
Organization
===
Conference Chair: Mark Cieliebak
Organizing Committee: Fernando Benites, Jan Deriu, Amrita Prasad, Don Tuggener, Dirk von Grünigen, Ada Wan
The conference is co-organized by Zurich University of Applied Sciences and the Swiss Alliance for Data-Intensive Services.
===
Program Committees
===
See also https://www.swisstext.org/index.html#programcommit...
Swiss Track – Program Committee
===
• Ivo Blohm, University of St. Gallen
• Martin Jaggi, Ecole Polytechnique Fédérale de Lausanne
• Aurelien Lucchi, ETH Zurich
• Roberto Mastropietro, Scuola universitaria professionale della Svizzera italiana (SUPSI)
• Andrei Popescu-Belis, School of Business and Engineering Vaud (HEIG-VD)
• Fabio Rinaldi, University of Zurich
• Jürgen Spielberger, ZHAW
• Manfred Vogel, Fachhochschule Nordwestschweiz (FHNW)
• Jürgen Vogel, Bern University of Applied Sciences (BFH)
• Tim vor der Brück, Lucerne University of Applied Sciences and Arts (HSLU)
• Egon Werlen, Swiss Distance University of Applied Sciences (FFHS)
Scientific Track – Program Committee
===
• Giuseppe Attardi, Università di Pisa
• Adrien Barbaresi, Österreichische Akademie der Wissenschaften (ÖAW)
• Roberto Basili, University of Roma Tor Vergata
• Eduardo Blanco, University of North Texas
• Ivo Blohm, University of St. Gallen
• Noah Bubenhofer, University of Zurich
• Ernst Buchberger, Medical University of Vienna
• Manuel De Buenaga, Universidad Europea de Madrid
• Stephan Busemann, German Research Center for Artificial Intelligence (DFKI)
• Miriam Butt, Universität Konstanz
• Pascual Cantos-Gómez, University of Murcia
• Sylviane Cardey, Universite de Franche-Comte
• Ernesto William De Luca, Georg-Eckert-Institute for international Textbook Research
• Gaël Dias, University of Caen Normandie
• Nicola Ferro, University of Padova
• Alexander Gelbukh, Instituto Politécnico Nacional, Mexico
• Hatem Ghorbel, University of Applied Sciences HES-SO, HE-Arc Ingénierie
• Xavier Gómez Guinovart, Universidade de Vigo
• Martin Jaggi, Ecole Polytechnique Fédérale de Lausanne
• Manfred Klenner, University of Zurich
• Valia Kordoni, Humboldt University Berlin
• Udo Kruschwitz, University of Essex
• Ekaterina Lapshinova-Koltunski, Saarland University
• Aurelien Lucchi, ETH Zurich
• Roberto Mastropietro, Scuola universitaria professionale della Svizzera italiana (SUPSI)
• Alexander Mehler, Goethe University Frankfurt
• Wolfgang Menzel, University of Hamburg
• Margot Mieskes, University of Applied Sciences, Darmstadt
• Marie-Francine Moens, Katholieke Universiteit Leuven
• Alessandro Moschitti, Qatar Computing Research Institute (QCRI)
• Guenter Neumann, German Research Center for Artificial Intelligence (DFKI)
• Johann Petrak, The University of Sheffield
• Hannes Pirker, Austrian Academy of Sciences (ÖAW)
• Andrei Popescu-Belis, School of Business and Engineering Vaud (HEIG-VD)
• Uwe Quasthoff, University Leipzig
• Fabio Rinaldi, University of Zurich
• Paolo Rosso, Universitat Politècnica de València
• Tanja Samardzic, University of Zurich
• Yves Scherrer, University of Helsinki
• Gerold Schneider, University of Zurich
• Rico Sennrich, The University of Edinburgh
• Marcin Skowron, Austrian Research Institute For Artificial Intelligence (OFAI)
• Jürgen Spielberger, Zurich University of Applied Sciences (ZHAW)
• Angelika Storrer, Universität Mannheim
• Manfred Vogel, Fachhochschule Nordwestschweiz (FHNW)
• Jürgen Vogel, Bern University of Applied Sciences (BFH)
• Tim Vor der Brück, Lucerne University of Applied Sciences and Arts (HSLU)
• Egon Werlen, Swiss Distance University of Applied Sciences (FFHS)
• Fabio Massimo Zanzotto, University of Rome Tor Vergata
• Torsten Zesch, University of Duisburg-Essen
• Heike Zinsmeister, University of Hamburg
The conference will have two tracks:
- Swiss Track, with a strong focus on Swiss industry and research. This track resembles the continuation of last years conference setting.
- Scientific Track, with technical research papers from the international community.
Scientific papers and abstracts of the "Swiss Track" presentations will be published in the conference proceedings.
Swiss Track
===
The goal of the Swiss Track is to bring together experts from Swiss industry and academia. For this track, we are looking for presentations with a certain "Swissness" factor:
- Your company or university is located in Switzerland;
- You provide a text analytics solution for one (or more) of the languages of Switzerland (including Swiss dialects);
- Your product focuses primarily on the Swiss market;
- Or any other factor that connects your presentation to Switzerland.
Presentations can be:
- Showcases
- Demos
- Applications
- Resources
- Research results
- Or any other contribution that is interesting to the audience.
In this track, we also welcome scientific contributions that were already published in other conferences or journals - as long as they have a Swissness factor.
For this track, only a short abstract (up to 1500 characters) has to be submitted, along with a CV of the presenter (max 500 chars) and the intended audience (e.g. developers, decision makers, project managers, max. 300 chars). All data is entered online via EasyChair.
Note: If you intend to publish a full scientific paper with a Swiss-related topic, please submit it to the Scientific Track.
Scientific Track
===
SwissText has the goal to feature a profound technical program. We invite submissions of scientific papers in all areas in the fields of Natural Language Processing (NLP), Computational Linguistics (CL), and Machine Learning/Data Science with a focus on Text Analytics.
Submission format:
- Please use the ACL LaTeX template: http://acl2017.org/downloads/acl17-latex.zip
- Up to 8 pages, excluding references
- Language: English
- Anonymize: The review process will be double blind; we ask authors to anonymize their submission reasonably. Instead of e.g. "We previously showed (Smith, 1991) ...", write "Smith previously showed (Smith, 1991) ..."
- Manuscripts must describe original work that has neither been published before, nor is currently under review elsewhere.
- Submission will be made through EasyChair.
===
Important Dates
===
- Submission Deadline (Extended): March 11, 2018
- Author Notification: April 16, 2018
- Camera Ready: April 30, 2018
- Conference: June 12-13, 2018
===
Proceedings
===
All accepted scientific papers will be published in full length in the conference proceedings. For presentations in the Swiss Track, the abstract will be included in the proceedings. There is no differentiation between oral or poster presentations in the proceedings. The proceedings shall be submitted to CEUR-WS.org for online publication under open access. To appear in the proceedings, each contribution has to be presented by at least one author at the conference.
===
Presentation Types
===
Accepted submissions will be presented orally or as posters, as determined by the program committee. All presentations are in English, and will be listed in the conference program booklet.
===
Keynote Speakers
===
• Eneko Agirre, University of the Basque Country (UPV/EHU)
• Costas Bekas, IBM Research – Zurich
• Iryna Gurevych, Technical University of Darmstadt
===
Organization
===
Conference Chair: Mark Cieliebak
Organizing Committee: Fernando Benites, Jan Deriu, Amrita Prasad, Don Tuggener, Dirk von Grünigen, Ada Wan
The conference is co-organized by Zurich University of Applied Sciences and the Swiss Alliance for Data-Intensive Services.
===
Program Committees
===
See also https://www.swisstext.org/index.html#programcommit...
Swiss Track – Program Committee
===
• Ivo Blohm, University of St. Gallen
• Martin Jaggi, Ecole Polytechnique Fédérale de Lausanne
• Aurelien Lucchi, ETH Zurich
• Roberto Mastropietro, Scuola universitaria professionale della Svizzera italiana (SUPSI)
• Andrei Popescu-Belis, School of Business and Engineering Vaud (HEIG-VD)
• Fabio Rinaldi, University of Zurich
• Jürgen Spielberger, ZHAW
• Manfred Vogel, Fachhochschule Nordwestschweiz (FHNW)
• Jürgen Vogel, Bern University of Applied Sciences (BFH)
• Tim vor der Brück, Lucerne University of Applied Sciences and Arts (HSLU)
• Egon Werlen, Swiss Distance University of Applied Sciences (FFHS)
Scientific Track – Program Committee
===
• Giuseppe Attardi, Università di Pisa
• Adrien Barbaresi, Österreichische Akademie der Wissenschaften (ÖAW)
• Roberto Basili, University of Roma Tor Vergata
• Eduardo Blanco, University of North Texas
• Ivo Blohm, University of St. Gallen
• Noah Bubenhofer, University of Zurich
• Ernst Buchberger, Medical University of Vienna
• Manuel De Buenaga, Universidad Europea de Madrid
• Stephan Busemann, German Research Center for Artificial Intelligence (DFKI)
• Miriam Butt, Universität Konstanz
• Pascual Cantos-Gómez, University of Murcia
• Sylviane Cardey, Universite de Franche-Comte
• Ernesto William De Luca, Georg-Eckert-Institute for international Textbook Research
• Gaël Dias, University of Caen Normandie
• Nicola Ferro, University of Padova
• Alexander Gelbukh, Instituto Politécnico Nacional, Mexico
• Hatem Ghorbel, University of Applied Sciences HES-SO, HE-Arc Ingénierie
• Xavier Gómez Guinovart, Universidade de Vigo
• Martin Jaggi, Ecole Polytechnique Fédérale de Lausanne
• Manfred Klenner, University of Zurich
• Valia Kordoni, Humboldt University Berlin
• Udo Kruschwitz, University of Essex
• Ekaterina Lapshinova-Koltunski, Saarland University
• Aurelien Lucchi, ETH Zurich
• Roberto Mastropietro, Scuola universitaria professionale della Svizzera italiana (SUPSI)
• Alexander Mehler, Goethe University Frankfurt
• Wolfgang Menzel, University of Hamburg
• Margot Mieskes, University of Applied Sciences, Darmstadt
• Marie-Francine Moens, Katholieke Universiteit Leuven
• Alessandro Moschitti, Qatar Computing Research Institute (QCRI)
• Guenter Neumann, German Research Center for Artificial Intelligence (DFKI)
• Johann Petrak, The University of Sheffield
• Hannes Pirker, Austrian Academy of Sciences (ÖAW)
• Andrei Popescu-Belis, School of Business and Engineering Vaud (HEIG-VD)
• Uwe Quasthoff, University Leipzig
• Fabio Rinaldi, University of Zurich
• Paolo Rosso, Universitat Politècnica de València
• Tanja Samardzic, University of Zurich
• Yves Scherrer, University of Helsinki
• Gerold Schneider, University of Zurich
• Rico Sennrich, The University of Edinburgh
• Marcin Skowron, Austrian Research Institute For Artificial Intelligence (OFAI)
• Jürgen Spielberger, Zurich University of Applied Sciences (ZHAW)
• Angelika Storrer, Universität Mannheim
• Manfred Vogel, Fachhochschule Nordwestschweiz (FHNW)
• Jürgen Vogel, Bern University of Applied Sciences (BFH)
• Tim Vor der Brück, Lucerne University of Applied Sciences and Arts (HSLU)
• Egon Werlen, Swiss Distance University of Applied Sciences (FFHS)
• Fabio Massimo Zanzotto, University of Rome Tor Vergata
• Torsten Zesch, University of Duisburg-Essen
• Heike Zinsmeister, University of Hamburg
Other CFPs
Last modified: 2018-03-08 11:17:10