29.5075, Calls: Computational Linguistics/Switzerland

[The LINGUIST List]

LINGUIST List: Vol-29-5075. Thu Dec 20 2018. ISSN: 1069 - 4875.

Subject: 29.5075, Calls: Computational Linguistics/Switzerland

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Date: Thu, 20 Dec 2018 19:38:59
From: Don Tuggener [tuge at zhaw.ch]
Subject: 4th edition of the Swiss Text Analytics Conference

 
Full Title: 4th edition of the Swiss Text Analytics Conference 
Short Title: SwissText 2019 

Date: 18-Jun-2019 - 19-Jun-2019
Location: Winterthur, Switzerland 
Contact Person: Mark Clieliebak
Meeting Email: info at swisstext.org
Web Site: https://www.swisstext.org/ 

Linguistic Field(s): Computational Linguistics 

Call Deadline: 03-Mar-2019 

Meeting Description:

SwissText is a two-­day conference on automatic text analytics which takes
place June 18-19, 2019 in Winterthur. SwissText gives an overview of existing
solutions and technologies and is a great place to come up with ideas for new
and innovative projects. We invite practitioners, analysts, end users,
software vendors, researchers and data scientists to join and share their
expertise and experience with the audience.


Call for Papers:

SwissText is an annual conference that brings together text analytics experts
from industry and academia. The conference is held on June 18-19, 2019 in
Winterthur, Switzerland, which is a short train ride (20min) from Zurich.

https://www.swisstext.org

The conference will have three tracks:

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
- Applications (If you have a demo, please submit to the Demo Track instead)
- 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 the Swiss 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:
https://easychair.org/conferences/?conf=swisstext2019

Note: If you intend to publish a novel, fully scientific paper with a
Swiss-related topic, please submit it to the Scientific Track. If you would
like to present mainly a demo of your solution, please submit to the Demo
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:
https://easychair.org/conferences/?conf=swisstext2019 


Demo Track:

For the first time, SwissText will feature a dedicated track for
demonstrations of working and available NLP solutions (open source and
proprietary). The goal is to give developers, companies, and researchers a
platform to showcase their products and tools, and for the audience to get an
overview of production-ready NLP solutions. 

Please provide a short abstract of your demo (1500 characters) and a
description of the intended audience (e.g. developers, researchers, etc., max.
300 chars). All data is entered online via EasyChair:
https://easychair.org/conferences/?conf=swisstext2019


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, as well as the abstracts of the Demo
Track. 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.




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