Timing: 01.10.2020 – 30.09.2024
Funding: Förderung des Bundesministeriums für Bildung und Forschung von KI-Nachwuchswissenschaftlerinnen

About the Project: 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).

Principal Investigators:  Prof. Dr. Lucie Flek

Team: Allie Lahnala, Joan Plepi, Mounika Marreddy, Ondrej Sotolar (starting 01.04.2024), Ipek Baris (starting 01.04.2024)