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    <p>Dear colleagues,</p>
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          <p dir="auto">We would like to invite you to the <a
              href="https://ofai.github.io/GermEval2024-GerMS/">GermEval
              Shared Task GerMS-Detect on Sexism Detection and Annotator
              Disagreement Prediction in German Online News Fora</a>
            collocated with <a
              href="https://konvens-2024.univie.ac.at/" rel="nofollow">Konvens
              2024</a>. </p>
          <p dir="auto">Best regards,</p>
          <p dir="auto">Stephanie Gross</p>
          <p dir="auto"><br>
          </p>
          <p dir="auto">-----------------------------------------------<br>
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              <p dir="auto">GermEval2024 Shared Task: GerMS-Detect --
                Sexism Detection and Annotator Disagreement Prediction
                in German Online News Fora</p>
              <p dir="auto">2nd CALL FOR PARTICIPATION</p>
              <p dir="auto"><a
                  href="https://ofai.github.io/GermEval2024-GerMS/"
                  rel="nofollow">Competition Website</a></p>
              <p dir="auto"><strong>Important Dates:</strong></p>
              <ul dir="auto">
                <li>Development phase: May 1 - June 5, 2024 (ongoing)</li>
                <li>Competition phase: June 7 - June 25, 2024</li>
                <li>Paper submission due: July 1, 2024</li>
                <li>Camera ready due: July 20, 2024</li>
                <li>Shared Task @KONVENS: 10 September, 2024</li>
              </ul>
              <p dir="auto"><strong>Task description</strong></p>
              <p dir="auto">This shared task is not just about the
                detection of sexism/misogyny in comments posted in
                (mostly) German language to the comment section of an
                Austrian online newspaper:
                many of the texts to be classified contain ambiguous
                language, very subtle ways to express misogyny or sexism
                or lack important context. For these reasons, there can
                be
                quite some disagreement between annotators on the
                appropriate label. In many cases, there is no single
                correct label. For this reason the shared task is not
                just about
                correctly predicting a single label chosen from all the
                labels assigned by human annotators, but about models
                which can predict the level of disagreement, the range
                of labels assigned by annotators or the distribution of
                labels to expect for a specific group of annotators.</p>
              <p dir="auto">For details see the <a
                  href="https://ofai.github.io/GermEval2024-GerMS/"
                  rel="nofollow">Competition Website</a>.</p>
              <p dir="auto"><strong>Organizers</strong></p>
              <p dir="auto">The task is organized by the <a
                  href="https://www.ofai.at" rel="nofollow">Austrian
                  Research Institute for Artificial Intelligence (OFAI)</a>.</p>
              <p dir="auto">Organizing team:</p>
              <ul dir="auto">
                <li>Brigitte Krenn (brigitte.krenn (AT) ofai.at)</li>
                <li>Johann Petrak (johann.petrak (AT) ofai.at)</li>
                <li>Stephanie Gross (stephanie.gross (AT) ofai.at)</li>
              </ul>
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      <pre class="moz-signature" cols="72">-- 
------------------------------------------------------------------
Mag. Dr. Stephanie Gross MSc     | Austrian Research Institute for
email: <a class="moz-txt-link-abbreviated moz-txt-link-freetext"
      href="mailto:stephanie.gross@ofai.at" moz-do-not-send="true">stephanie.gross@ofai.at</a>   | Artificial Intelligence (OFAI)
phone: (+43-1)5324621-1          | Freyung 6/3/1a
                                 | A-1010 Vienna, Austria
------------------------------------------------------------------</pre>
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