Semantic textual similarity for causality detection
Summary
Investigating how keyword filters and Swedish semantic textual similarity models can identify sentences containing causal relations and rank them in governmental reports (SOU) relative to a specific query.
Themes
Keywords
causality detection, NLP, Swedish, BERT, semantic similarity, SOU