Speaker attribution in German parliamentary debates with QLoRA-adapted large language models

arXiv:2309.09902v2 Announce Type: replace
Abstract: The growing body of political texts opens up new opportunities for rich insights into political dynamics and ideologies but also increases the workload for manual analysis. Automated speaker attribution, which detects who said what to whom in a speech event and is closely related to semantic role labeling, is an important processing step for computational text analysis. We study the potential of the large language model family Llama 2 to automate speaker attribution in German …

abstract analysis arxiv attribution automated cs.cl dynamics event german insights language language models large language large language models opportunities political qlora speaker speech type