TY  - THES
AB  - Recent advancements in computational argumentation research led to debate technologies that broaden perspectives and foster critical thinking. However, challenges persist in generating relevant arguments, addressing user beliefs, and countering opposing viewpoints. This research addresses these challenges by proposing methods to identify discussion spaces, model audience beliefs, and generate effective counters. Empirical evidence supports the efficacy of these approaches. Overall, the study enhances debate technologies by improving engagement and effectiveness, ultimately positively impacting discourse and decision-making processes.
AU  - Alshomary, Milad
CY  - Paderborn
DA  - 2023
DO  - 10.17619/UNIPB/1-1969
DP  - Universität Paderborn
LA  - eng
N1  - Tag der Verteidigung: 20.12.2023
N1  - Universität Paderborn, Dissertation, 2023
PB  - Veröffentlichungen der Universität
PY  - 2023
SP  - 1 Online-Ressource (XIII, 186 Seiten)
T2  - Institut für Informatik
TI  - Audience-aware argument generation
UR  - https://nbn-resolving.org/urn:nbn:de:hbz:466:2-51720
Y2  - 2026-01-17T16:48:58
ER  -