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news:2024:04:17_1713360456 [2024/04/17 18:04] – Seraina Nadig | news:2024:04:17_1713360456 [2024/04/17 18:14] (current) – Seraina Nadig | ||
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Publication Date: 2024-04-17 | Publication Date: 2024-04-17 | ||
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**Website: | **Website: | ||
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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)// | 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)// | ||
- | 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:\\ |
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==== Workshops at SwissText 2024 ==== | ==== Workshops at SwissText 2024 ==== | ||
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+ | ⚠️ Please note that some of the workshops publish a Call for Papers or for \\ Extended Abstracts. The calls also include submission deadlines. ⚠️ | ||
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- | <WRAP em> 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 ==== | ||
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* **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, | * **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, | ||
- | In connection with the shared task, a 2-hour workshop with the title **NLP for Sustainable Development Goals Monitoring** | + | Additionally, a 2-hour workshop with the title **NLP for Sustainable Development Goals Monitoring** |
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