CLARIN-CH

Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revisionPrevious revision
Next revision		Previous revision
news:2024:04:17_1713360456 [2024/04/17 18:07] – Seraina Nadignews:2024:04:17_1713360456 [2024/04/17 18:14] (current) – Seraina Nadig
Line 4: Line 4:
 Publication Date: 2024-04-17 Publication Date: 2024-04-17
 </WRAP> </WRAP>
 +
 +{{ :news:2023:11:swisstext-logo.png?nolink&150|}}
  
 <WRAP round box 60%> <WRAP round box 60%>
Line 12: Line 14:
 **Website:** [[https://www.swisstext.org/|www.swisstext.org]]\\ **Website:** [[https://www.swisstext.org/|www.swisstext.org]]\\
 </WRAP> </WRAP>
- +\\
-{{ :news:2023:11:swisstext-logo.png?nolink&200|}} +
- +
 CLARIN-CH is a partner of **SwissText 2024**, 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 local universities and the //Zurich University of Applied Sciences (ZHAW)// with the support of the //Swiss Innovation Agency (Innosuisse)// and several industrial sponsors. CLARIN-CH is a partner of **SwissText 2024**, 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 local universities and the //Zurich University of Applied Sciences (ZHAW)// with the support of the //Swiss Innovation Agency (Innosuisse)// and several industrial sponsors.
  
-The organising committee has now announced the selection of six workshops which will be held during SwissText 2024:\\ +The organising committee has now announced the selection of workshops which will be held during SwissText 2024:\\
  
-<WRAP round box>+<WRAP round box 80%>
 ==== Workshops at SwissText 2024 ==== ==== Workshops at SwissText 2024 ====
   * [[https://www.swisstext.org/workshops/workshop-next-gen-cleantech-solutions/|Next-Gen Cleantech Solutions: Mining Insights from Media and Patent Data with Natural Language Processing (NLP) and Large Language Models (LLMs)]]   * [[https://www.swisstext.org/workshops/workshop-next-gen-cleantech-solutions/|Next-Gen Cleantech Solutions: Mining Insights from Media and Patent Data with Natural Language Processing (NLP) and Large Language Models (LLMs)]]
Line 29: Line 27:
   * [[https://www.swisstext.org/workshops/workshop-simply-the-text/|Simply The Text! NLP Solutions for Accessibility Challenges]]   * [[https://www.swisstext.org/workshops/workshop-simply-the-text/|Simply The Text! NLP Solutions for Accessibility Challenges]]
   * [[https://www.swisstext.org/battle-of-nlp/|Battle of NLP ideas]]   * [[https://www.swisstext.org/battle-of-nlp/|Battle of NLP ideas]]
 +⚠️ Please note that some of the workshops publish a Call for Papers or for \\ Extended Abstracts. The calls also include submission deadlines. ⚠️
 </WRAP> </WRAP>
    
-⚠️ Please note that some of the workshops publish a Call for Papers or for Extended Abstracts. The calls also include submission deadlines. ⚠️ 
  
 ==== Shared Task at SwissText 2024 ==== ==== Shared Task at SwissText 2024 ====
Line 42: Line 40:
   * **Task 2: Multi-label Classification at the Level of SDG Targets** \\ This Shared Task is designed to challenge the systems’ abilities in fine-grained classification and to encourage the development of innovative solutions in the field of NLP, particularly in scenarios where extensive labeled data is not available. Accurate prediction of SDG targets in scientific abstracts enhances the specificity and usefulness of research classification in the context of sustainable development, fostering a more nuanced understanding of research contributions towards global goals.   * **Task 2: Multi-label Classification at the Level of SDG Targets** \\ This Shared Task is designed to challenge the systems’ abilities in fine-grained classification and to encourage the development of innovative solutions in the field of NLP, particularly in scenarios where extensive labeled data is not available. Accurate prediction of SDG targets in scientific abstracts enhances the specificity and usefulness of research classification in the context of sustainable development, fostering a more nuanced understanding of research contributions towards global goals.
  
-In connection with the shared task, a 2-hour workshop with the title **NLP for Sustainable Development Goals Monitoring**  will be held at SwissText 2024. For more information, go to the following page:+Additionally, a 2-hour workshop with the title **NLP for Sustainable Development Goals Monitoring**  will be held at SwissText 2024 in connection with the shared task. For more information, go to the following page:
  
 <WRAP centeralign><wrap button> [[https://www.swisstext.org/call-for-shared-tasks/| ➡️ SwissText 2024: Shared Task]]</wrap></WRAP> <WRAP centeralign><wrap button> [[https://www.swisstext.org/call-for-shared-tasks/| ➡️ SwissText 2024: Shared Task]]</wrap></WRAP>
news/2024/04/17_1713360456.1713370052.txt.gz · Last modified: 2024/04/17 18:07 by Seraina Nadig

Page Tools