Dear colleagues, partners, and friends
This is the final Call for Papers for the SwissText 2025 Conference.
!!! Note that we extend the submission deadline to 22.03.2025 (23:59 AOE) !!!
If you plan to make a submission, it helps us with the planning if you already 
submit an abstract and/or a draft now. You can still revise the submission 
until the submission deadline.
We invite you to submit a contribution to the 10th Swiss Text Analytics 
Conference (SwissText) which takes place on May 14-15, 2025 in Winterthur, 
Switzerland at the Zurich University of Applied Sciences (ZHAW).
SwissText<https://swisstext.org/> is an annual conference that brings together 
text analytics experts from industry and academia. It is organized by the Swiss 
Association for Natural Language Processing (SwissNLP) in collaboration with 
the Zurich University of Applied Sciences (ZHAW).
This edition of SwissText will be special, since we celebrate its 10th 
anniversary! For the occasion, we introduce the Impact Track which replaces and 
extends the scope of the Applied Track, and we introduce the Corpus Track that 
offers the opportunity to present Swiss-related NLP datasets.
The conference now features the following tracks and submissions (more details 
in the below sections):

  *
Impact Track (formerly Applied Track): Describe impactful applied and practical 
NLP projects. Short abstract (approx 0.5-1 page).
  *
Scientific Research: Describe original research.
     *
Regular Track: Full paper (up to 8 pages), short paper (up to 4 pages)
     *
Junior Track: Short paper (up to 4 pages)
  *
Corpus Track (new): Present your Swiss-related NLP dataset. Short paper (up to 
4 pages).

TRACKS
Impact Track (formerly Applied Track)
Contribute to the conference by submitting a presentation with a strong focus 
on practical application and impact. Have you developed an interesting NLP 
solution that solves a challenging problem in your organization? Did you write 
an impactful blog article on an NLP-related topic? Have you released a cool new 
NLP Python library? Is there an important idea presented in a  paper you have 
read or written that you think needs more exposure to a broader audience?
The impact track is open to various NLP-related contributions. The selection 
criteria here is how exciting and relevant the presentation will be for the 
broad audience.
Presentations can be (non-exhaustive list):

  *
Applications
  *
Applied research results
  *
Showcases
  *
Paper discussions (only already published papers; original work can be 
submitted to the scientific track)
  *
System demonstrations

Submission Format:

  *
A PDF document that contains
     *
a short abstract (approx. 0.5-1 page of main content) describing your 
contribution;
     *
a screenshot or system diagram (optional)
     *
CV of the team (text format, no tables — max. 500 characters)
     *
Description of the intended audience (e.g. developers, decision makers, project 
managers, researchers; max. 300 characters)
  *
Language: English
  *
Please submit online via 
<https://easychair.org/conferences/?conf=swisstext2025> 
EasyChair<https://easychair.org/conferences/?conf=swisstext2025> 
<https://easychair.org/conferences/?conf=swisstext2025>

Scientific Track
Contribute to the conference by submitting original papers that illustrate 
research results, projects, surveying works that describe new concepts, 
innovative research, systems, or standards in the areas of NLP. (If you have a 
live demonstration, please submit to the Impact Track instead)
Submission Format:

  *
Full Paper of maximum of 8 pages, or Short Paper with maximum of 4 pages (both 
versions have additional pages for references and appendix)
  *
Use the ACL style<https://github.com/acl-org/acl-style-files>
  *
Language: English
  *
Anonymization: The review process will be double blind; we ask authors to 
anonymize their submission reasonably. For instance, instead of “We previously 
showed (Smith, 1991) …” write “Smith previously showed (Smith, 1991) …”
  *
All data is entered online via 
EasyChair<https://easychair.org/conferences/?conf=swisstext2025>

Scientific Junior Track
We offer PhD/Master students a unique opportunity to submit ongoing or finished 
work relevant to the NLP field and receive extensive professional feedback. 
Several senior researchers in the NLP field in Switzerland have expressed their 
support for this initiative and will be members of the programme committee. 
They will provide extensive reviews to the students to help them improve their 
paper writing skills.
Submission Format:

  *
Please use the ACL style<https://github.com/acl-org/acl-style-files>
  *
Language: English
  *
Short Paper with maximum of 4 pages, with additional pages for references and 
appendix.
  *
Content: ongoing or finished work, relevant to the NLP field.
  *
The first author must be a student registered at a Swiss academic institution.
  *
Anonymization: The review process will be double blind; we ask authors to 
anonymize their submission reasonably. For instance, instead of “We previously 
showed (Smith, 1991) …” write “Smith previously showed (Smith, 1991) …”
  *
Submission will be made through 
EasyChair<https://easychair.org/conferences/?conf=swisstext2025>

Corpus Track
This special track focuses on the creation, curation, and release of datasets 
that address challenges and opportunities in NLP in the context of Switzerland. 
The aim is to provide a platform for researchers, practitioners, and industry 
professionals to share innovative dataset contributions that support 
linguistic, cultural, and technical advancements in the Swiss NLP ecosystem. 
Submissions can describe already published or original work.
It might be possible to host your data at Swiss NLP if you are unable to do so 
yourself. Please get in touch at [email protected]<mailto:[email protected]> if 
you are interested in this option.
The submission is a “Corpus Description Paper”, which should contain the 
following:

  *
What and how much data was collected?
  *
How was the data collected and annotated?
  *
Corpus statistics
  *
Quality assessments such as annotator agreements
  *
Where is the corpus available? (please take into account long-term availability)
  *
Under which license(s) is the corpus distributed?
  *
For which use cases can the corpus be used?
  *
Optional: baseline systems and results

Submission Format:

  *
Please use the ACL style<https://github.com/acl-org/acl-style-files>
  *
Language: English
  *
Corpus description paper with maximum of 8 pages, with additional pages for 
references and appendix.
  *
Please use the appendix to describe technical details of the corpus creation, 
in particular how data was collected, full annotation guidelines, etc.
  *
Content: new/existing NLP datasets within the context of Switzerland.
  *
Submission will be made through 
EasyChair<https://easychair.org/conferences/?conf=swisstext2025>

GENERAL INFORMATION
Presentation Modes
For all tracks, there are the following presentation modes:

  *
Talk: a classical presentation of approx. 15min + 5min discussion
  *
Poster: you can hang up an A1 poster during the poster session
  *
Demo: you get a booth where you can show your solution as live-demo during the 
exhibition time (approx 2 hours)

During submission you can choose your preferred presentation mode and the 
SwissText Program Committee will decide which format your submission best fits 
in.
Proceedings
We plan to publish the proceedings of the Scientific, Corpus and Junior track 
in the ACL Anthology. To appear in the proceedings, each contribution has to be 
presented by at least one author at the conference.
Important Dates

  *
Submission deadline: March 22, 2025 (23:59 AOE)
  *
Author notification: April 5, 2025
  *
Camera-ready version due: April 19, 2025
  *
Conference: May 14-15, 2025

Venue
The conference will take place in Winterthur at the Zurich University of 
Applied Sciences (ZHAW).
Organization

  *
General Chair: Prof. Dr. Mark Cieliebak (ZHAW)
  *
Program Chairs: Dr. Don Tuggener (ZHAW), Manuela Hürlimann (ZHAW)

Contact
Please direct all questions regarding the submission process to 
[email protected]<mailto:[email protected]>.


_______________________________________________
Corpora mailing list -- [email protected]
https://list.elra.info/mailman3/postorius/lists/corpora.list.elra.info/
To unsubscribe send an email to [email protected]

Reply via email to