Browsing Department of Information Science and Media Studies by Subject "Natural language processing"
Now showing items 1-2 of 2
-
Automated Moderation: Detecting Irony in a Norwegian Facebook Comment Section using a Longformer Transformer Model with a Context Encoded Dataset
(Master thesis, 2022-06-01)Irony is a complex phenomenon of human communication and due to its contextual nature has been notoriously difficult for machine learning algorithms to detect. With an established practical definition of irony based in the ... -
Automatic Encoding From Natural Language to First-Order Horn Clauses
(Master thesis, 2024-06-03)A central topic within the field of machine ethics, and other fields where moral reasoning is needed, is to incorporate large quanta of (moral) rules represented in natural language using a formal specification that can ...