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BMBF projects

• Inhalt ausklappen Inhalt einklappen DynSoDA: Dynamically Social Natural Language Processing for Online Discourse Analysis

  The DynSoDA project will model the discourse aspects of language together with the deep representations of user characteristics and latent social network profiles derived from online dialogues. In contrast to current approaches, user representations will be treated as dynamically contextual. The project further envisions the use of transfer learning techniques at multiple levels of abstraction to work robustly across a range of NLP tasks related to social discourse (such as opinion detection, hate speech identification, or argument persuasiveness prediction).
  
  Project homepage b-it 
  
  Participating: Prof. Dr. Lucie Flek