CLSinfra<p>📖 <a href="https://fedihum.org/tags/NLP" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NLP</span></a> people, a reminder that the brilliant notebooks developed by <a href="https://fedihum.org/tags/Ghent" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Ghent</span></a> CDH are a game-changing walkthrough of <a href="https://fedihum.org/tags/NER" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NER</span></a>, <a href="https://fedihum.org/tags/ABSA" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ABSA</span></a> Sentiment Analysis, and <a href="https://fedihum.org/tags/RelationalExtraction" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RelationalExtraction</span></a> pipelines. ▶️<br>Please share widely! <br><a href="https://github.com/GhentCDH/CLSinfra/tree/main" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">github.com/GhentCDH/CLSinfra/t</span><span class="invisible">ree/main</span></a></p>
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#relationalextraction
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CLSinfra<p>📖 three CLS INFRA Deliverables on <a href="https://fedihum.org/tags/NLP" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NLP</span></a> are out now! 📖 <br>In this video Tess Dejaghere and Pranaydeep Singh of Ghent University CDH explain and demo work on <a href="https://fedihum.org/tags/NER" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NER</span></a> (<a href="https://fedihum.org/tags/NamedEntityRecognition" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NamedEntityRecognition</span></a>), <a href="https://fedihum.org/tags/ABSA" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ABSA</span></a> (Aspect-based <a href="https://fedihum.org/tags/SentimentAnalysis" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SentimentAnalysis</span></a>) and <a href="https://fedihum.org/tags/RelationalExtraction" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RelationalExtraction</span></a>. <br><a href="https://youtu.be/RJE83eb7a6A" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">youtu.be/RJE83eb7a6A</span><span class="invisible"></span></a></p>
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